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Client Overview Our client is a growing technology organization specializing in enterprise SaaS solutions for the higher education industry. The company develops innovative software platforms that help educational institutions streamline operations, automate workflows, and improve efficiency. They are seeking an experienced Lead Full Stack Software Engineer to join their growing Engineering team.\n \n Salary/Hourly Rate $120k - $140k Annually\n \n Position Overview This Lead Full Stack Software Engineer role is a hands-on technical leadership position focused on designing, developing, and scaling enterprise SaaS applications using Python, Node.js, React, and AWS. The ideal candidate has a strong full-stack engineering background, experience leading Development teams, and expertise in cloud-based application architecture. The role also involves integrating emerging AI technologies into existing products and engineering workflows.\n \n Responsibilities Of The Lead Full Stack Software Engineer \n\n • Lead the design, development, and scaling of enterprise SaaS applications.\n, • Develop and maintain full-stack applications using Python, Node.js, and React.\n, • Design and optimize AWS cloud infrastructure and serverless solutions.\n, • Mentor and manage software engineers, providing technical guidance and support.\n, • Collaborate with Product Managers to prioritize features and deliver scalable solutions.\n, • Establish engineering best practices, including code reviews, automated testing, and CI/CD.\n, • Design and integrate agentic AI workflows into existing applications.\n, • Identify opportunities to improve application performance, reliability, and development efficiency. \nRequired Experience/Skills For The Lead Full Stack Software Engineer \n\n • 5 - 8+ years of professional software engineering experience.\n, • Strong hands-on development experience with Python, Node.js, and React.\n, • Experience designing and scaling cloud-based SaaS applications.\n, • Strong AWS experience, including Lambda, API Gateway, SNS, and EC2.\n, • Experience with PostgreSQL or AWS Aurora.\n, • Experience with modern API development and application architecture.\n, • Previous experience leading, mentoring, or managing Software Engineers.\n, • Strong understanding of CI/CD pipelines, automated testing, and code review processes.\n, • Experience building agentic AI workflows using LangChain, LangGraph, OpenAI Agents SDK, or similar frameworks.\n, • Strong communication, collaboration, and problem-solving skills. \nPreferred Experience/Skills For The Lead Full Stack Software Engineer \n\n • Experience with GraphQL or AWS AppSync.\n, • Familiarity with Ant Design, Bootstrap, and SSO integrations.\n, • Experience with Golang.\n, • Experience migrating applications toward serverless architectures.\n, • Experience working in Agile development environments. \nEducation Requirements \n\n • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience, is required. \nBenefits \n\n • Medical, dental, and vision insurance.\n, • 401(K) with company match.\n, • Equity opportunities.\n, • Four weeks of paid vacation, 10 paid holidays, and paid sick leave.\n, • Paid parental leave.\n, • Employer-paid life and disability insurance.\n, • Health savings and flexible spending accounts.\n, • Professional development and continuing education benefits.\n, • Monthly mobile connectivity stipend.\n, • Employee assistance and wellness programs. \n

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.\n \n \nL3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.\n \n Job Title: Non Destructive RT / PT Level 2 Technician\n \n Job Code: 42069\n \n Job Location: Carlstadt, New Jersey\n \n Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off \n \n Job Description: \n \n \nL3 Harris in Carlstadt, NJ has a current opportunity in our Quality Department for Radiographic (RT L2) and Fluorescent Penetrant (PT L2) Inspectors to inspect our critical components for our diverse customer base. Here you will have an opportunity to be part of our growing NDT department with advanced capabilities including film radiography, Digital radiography (CR ), and fluorescent penetrant inspection (FPI). Our employees apply their experience, skills, expertise, and knowledge to produce components used in aerospace. \n \n \n We are looking for dedicated, trustworthy individuals with training and experience necessary to perform the NDT Level 2 responsibilities described below. We have continued to invest in new technology, such as digital Radiography (CR), and plan to expand the non-destructive inspection testing area to make our NDT department a great place to work. \n \n Essential Functions: \n \n \n\n • Must be able to obtain a security clearance.\n, • Perform radiographic inspection and fluorescent penetrant inspection by following provided techniques, and work instructions to inspect the welds, heat affected zones and parent material on components fabricated from material such as Inconel, aluminum, stainless Steel and Titanium.\n, • Interpretation of results to determine whether parts pass or fail inspection based on Drawings, procedures and customer specifications.\n, • Assist in maintaining the radiographic inspection and fluorescent penetrant inspection areas and equipment.\n, • Maintain accurate records of inspections and process logs as required by the method\n, • Detect and identify indications affecting quality and safety factors such as cracks, inclusions, cavities, undercuts, incomplete fusion and porosity, etc.\n, • Determine and disposition (accept or reject) items based on NDT results.\n, • Record test results, findings and dispositions manually or with the aid of a computer or computer based system.\n, • Coordinate recurring defects with concerned with supervisor and quality engineer personnel, and if required recommend corrective action measures.\n, • Test and pass NAS 410 Level II certification in house.\n, • Able to pass vision test requirements.\n, • Ability to obtain a US Security Clearance.\n, • May be require to work some weekends.\n\n \n Qualifications:\n \n \n\n • High School Diploma or GED.\n, • Previously certified to NAS 410 or ASNT TC-1A Level 2 in Radiographic Testing or Fluorescent Penetrant Testing. With a minimum of one (1) year NDT work experience.\n, • Candidates with less experience which have been previously certified to RT or PT NAS410 or ASNT TC-1A Level 1 may be considered for this position and are encouraged to apply.\n\n \n Preferred Additional Skills:\n \n \n\n • Experience with DDA, CR (digital X-ray) desirable but not required.\n, • Able to work independently and follow written and verbal instructions.\n, • Strong work ethic, high attention to detail, and team player.\n, • Have a desire to increase technical and leadership skills in the NDT field.\n, • Working knowledge of Microsoft Office Programs (Office, Excel, PowerPoint).\n, • Proficiency using precision measuring tools.\n, • Knowledge and experience of aerospace manufacturing processes and materials.\n, • Good communication skills, and the ability to work in a team environment.\n, • Strong problem solving and ability to create manual approaches to measuring.\n, • When required, ability to work in a fast pace environment to meet deadlines.\n\n \n \nIn compliance with pay transparency requirements, the salary range for this role in the state of New Jersey is $18.50/hr - $59.13/hr. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. \n \n \n#LI-TD4 \n \n \nL3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.\n \n \nPlease be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. \n \n \nBy submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.\n \n \nL3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish .

About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. Position Summary The Principal Software Quality Engineer is responsible for leading software quality assurance activities for our Class II AI/ML-based Software as a Medical Device (SaMD). This role provides technical leadership and quality oversight across the full software lifecycle, including design controls, risk management, verification and validation, cybersecurity, release management, post-market activities, change control, and quality system compliance. You will work closely with Software Engineering, Machine Learning, Product, Regulatory, Clinical, and Cybersecurity teams to ensure our software is developed, tested, released, maintained, and changed in a controlled, compliant, and risk-based manner that supports product safety, effectiveness, and quality, including Quality System requirements. You will also provide technical oversight, mentoring, and review of work performed by internal teams, consultants, contractors, and third-party service providers. Essential Responsibilities: The Principal Software Quality Engineer is responsible for supporting and leading software quality activities across the full product lifecycle, including design, development, verification, validation, release, maintenance, and post-market change control. Essential responsibilities include, but are not limited to, the following: · Provide software quality engineering leadership for the Company’s Class II AI/ML-based Software as a Medical Device. · Support compliance with applicable medical device software regulations, standards, guidance documents, and internal quality system procedures. · Provide Quality oversight for software lifecycle activities, including requirements, design, development, verification, validation, release, maintenance, and change control. · Review and approve software quality documentation, including software requirements, design documentation, risk analyses, cybersecurity risk analyses, traceability matrices, verification protocols, validation protocols, test reports, release documentation, and change records. · Ensure software requirements are clear, testable, traceable, risk-based, and aligned with user needs and intended use. · Support design control activities, including design inputs, design outputs, design reviews, design verification, design validation, design transfer, and design changes. · Ensure appropriate traceability among requirements, design outputs, risk controls, verification testing, validation testing, defects, and released software. · Provide quality oversight for AI/ML-related software activities, including algorithm performance documentation, dataset considerations, acceptance criteria, validation activities, and change impact assessments. · Support software verification and validation activities, including test plans, test cases, automated testing, regression testing, performance testing, cybersecurity testing, deviations, anomalies, and final reports. · Evaluate software defects, deviations, and unresolved anomalies for safety, performance, cybersecurity, regulatory, and release impact. · Support software release readiness reviews and confirm required testing, documentation, risk assessments, cybersecurity activities, and approvals are complete. · Review and approve software change requests and impact assessments, including impact to requirements, risk management, cybersecurity, validation, labeling, and regulatory documentation. · Provide quality oversight for cloud-based software deployment, configuration management, access controls, release controls, CI/CD processes, source code repositories, and software development tools. · Support cybersecurity quality activities, including review of threat models, vulnerability assessments, penetration testing results, SBOM documentation, vulnerability dispositions, and cybersecurity risk mitigations. · Support supplier quality activities for software-related suppliers, cloud service providers, software development contractors, cybersecurity vendors, and other third-party service providers. · Support post-market software quality activities, including complaint investigations, CAPA, nonconformances, field issues, software patches, and maintenance releases. · Provide quality input for regulatory submissions and responses to regulatory questions related to software, cybersecurity, risk management, and verification and validation. · Participate in internal audits, external audits, supplier audits, and regulatory inspections related to software quality and SaMD development. · Identify and support improvements to software quality processes, design controls, risk management, verification and validation, cybersecurity, and release management. · Mentor cross-functional team members on software quality expectations, documentation practices, risk-based thinking, and medical device software compliance. · Oversee our cloud infrastructure (Azure/AWS), CI/CD pipelines, and DevSecOps practices. Minimum Qualifications: To be qualified for this role, the Principal Software Quality Engineer shall meet the following requirements: · Bachelor’s degree in Software Engineering, Computer Science, Biomedical Engineering, Electrical Engineering, Systems Engineering, or a related technical discipline. · Minimum of 8 years of experience in software quality engineering, software development, software verification and validation, quality engineering, or related medical device software role. · Minimum of 5 years of experience working in a regulated medical device, SaMD, digital health, diagnostic imaging, healthcare software, or other regulated life sciences environment. · Demonstrated knowledge of medical device design controls and software lifecycle requirements. · Demonstrated knowledge of the US FDA’s expectations for maintaining AI/ML-enabled medical devices including predetermined change control plans, real-world performance monitoring, and algorithm change management. · Experience with software verification and validation, including review of test plans, protocols, test cases, test results, deviations, anomalies, and traceability. · Experience with risk management for medical devices, including hazard analysis, software risk analysis, cybersecurity risk analysis, and risk control verification. · Working knowledge of applicable standards and regulations, such as 21 CFR Part 820, ISO 13485, ISO 14971, IEC 62304, IEC 62366-1, and FDA guidance for medical device software. · Experience supporting software change control, release readiness, configuration management, and defect management. · Experience working with cross-functional teams, including software engineering, product, regulatory, clinical, cybersecurity, and quality. · Strong technical writing skills, including ability to write and review clear, complete, and audit-ready quality records. · Strong analytical and problem-solving skills, including ability to assess technical issues for quality, safety, cybersecurity, regulatory, and business impact. · Ability to work independently, prioritize work, and provide technical leadership in a fast-paced development environment. · Proficiency in English, including ability to read, write, review, and approve technical and quality documentation. Preferred qualifications include: · Master’s degree in Software Engineering, Computer Science, Biomedical Engineering, Regulatory Science, Quality Assurance, or a related discipline. · Experience with AI/ML-enabled medical devices, imaging software, quantitative imaging biomarkers, radiology workflows, MRI image processing, or clinical decision-support software. · Experience with Class II SaMD regulatory submissions, including US FDA 510(k) submissions. · Experience with cloud-based software platforms and Microsoft Azure. · Experience with cybersecurity documentation for medical devices, including threat modeling, SBOM review, vulnerability assessment, penetration testing, and cybersecurity risk management. · Experience with automated testing frameworks, CI/CD pipelines, DevOps practices, GitHub, Jira, Azure DevOps, or similar tools. · Experience with software tool validation or computer software assurance. · Experience supporting US FDA inspections, ISO 13485 audits, MDSAP audits, supplier audits, or EU notified body audits. · ASQ Certified Software Quality Engineer, Certified Quality Engineer, Regulatory Affairs Certification, or similar professional certification. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in approximately 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $200,000 - 270,000. How to Apply • If you’re excited to help shape the future of quantitative imaging biomarkers and medical AI, send your resume and a brief introduction to nathooi@sdi-global.ai (Isaac).

Software Engineer, Data & ML Infrastructure Location: New York City (Remote to In-Person) Full Time Company: Surgeon Decision Intelligence About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. We work closely with clinical collaborators, surgeons, and research partners to ensure our models meet the highest standards for accuracy, interpretability, and reproducibility. Position Summary We’re hiring a Software Engineer to help build and maintain the data and infrastructure backbone of our AI/ML platform. You’ll work directly with our Senior AI/ML Engineer on the systems that power everything we do: a PostgreSQL clinical and imaging database, cloud storage for medical imaging studies, internal APIs, and the tooling and CI/CD infrastructure that keeps our ML codebase reliable and reproducible. This is a hands-on engineering role, not a research role. You’ll write production Python, own database migrations and data-quality tooling, help migrate legacy code into well-structured packages, and build the internal services that our ML and clinical teams depend on. It’s an excellent fit for an engineer who takes pride in clean, well-tested, well-documented software and wants meaningful exposure to medical imaging and applied ML in a regulated domain. Key Responsibilities • Develop and maintain our PostgreSQL database layer: schema changes, SQLAlchemy ORM models, Alembic migrations, and data-integrity constraints, • Build and maintain data ingestion, validation, and ETL pipelines for clinical outcomes data and medical imaging metadata (DICOM), • Contribute to internal FastAPI services, including endpoints for imaging metadata, annotations, and access control, • Support our Azure cloud infrastructure: blob storage for imaging studies, containerized service deployments, and authentication/authorization workflows, • Help migrate legacy research code into versioned, dependency-managed Python packages following team engineering standards, • Write and maintain CI/CD pipelines, tests, and developer tooling that keep the codebase reliable and reproducible, • Build supporting tooling for ML workflows: dataset extraction and export, experiment/artifact tracking support, and data provenance, • Participate in code review and contribute to team engineering standards and documentation Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • 3+ years of professional software development experience with Python, • Solid working knowledge of SQL and relational databases (PostgreSQL preferred), including schema design and query optimization, • Experience with software development lifecycle practices such as version control, testing, CI/CD, and collaborative development workflows., • Experience with data and ML infrastructure (e.g., data pipelines, feature stores, model deployment, containerization, orchestration frameworks)., • Experience with cloud-based ML pipelines (Azure) and infrastructure-as-code tools., • Proficiency with Git and collaborative development workflows (branching, pull requests, code review), • Experience writing tested, documented, production-quality code with type hints and modern Python packaging practices, • Strong communication skills and comfort working in a small, fast-moving team Preferred Skills and Qualifications • Experience with an ORM and database migration tooling (e.g., SQLAlchemy and Alembic), • Experience building REST APIs with FastAPI or a similar Python web framework, • Experience with Azure (blob storage, container apps, Entra ID) or another major cloud platform, • Familiarity with Docker and CI/CD systems (e.g., GitHub Actions), • Experience with healthcare data: DICOM, medical imaging pipelines, clinical registries, or EHR-derived datasets, • Understanding of HIPAA and handling PHI in production systems, • Familiarity with ML engineering tooling (e.g., MLflow, model/data versioning) and supporting ML teams, even without direct modeling experience, • Experience with modern Python dependency management (e.g., uv, Poetry) and publishing internal packages, • Experience working in or migrating legacy codebases toward better structure and standards, • Experience with software quality practices for regulated medical software, including requirements traceability, validation, configuration management, and controlled releases, • Experience with orchestration or workflow systems for data/ML pipelines, specifically Databricks. Why Join Us? At SDI, you’ll be part of a mission-driven team working at the frontier of medical AI. You will have the opportunity to: • Contribute to technology that could redefine clinical management of musculoskeletal health and diseases., • Work with a diverse and inclusive multidisciplinary team of engineers and clinicians., • Grow your skills in a dynamic, fast-moving startup environment. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in about 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $140,000 - 175,000. Surgeon Decision Intelligence provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

A leading global trading firm is hiring a Machine Learning Performance Engineer to work on a flagship AI program. You'll have real influence across ML infrastructure, training and inference, work that feeds directly into the firm's futures trading strategies. The role • Build robust, scalable training and inference pipelines for deep learning, • Work inside the internals of open-source deep learning frameworks and extend what they can do, • Hunt down and remove performance bottlenecks, • Partner closely with researchers and fellow engineers, • Build deep knowledge of how the trading systems work What's on offer • You'll be part of a collaborative, high-performing culture built around curious thinkers and inventive problem-solvers, tackling some of the hardest challenges in financial markets alongside genuinely strong colleagues., • Colleagues drawn from 40+ nationalities, • Highly competitive compensation, • Firm-wide profit share plus performance-linked bonus, • 401(k) matched up to 50%, • Full health, mental health, dental, vision, disability and life cover, • 25 days' paid leave plus market holidays, • Generous office perks — breakfast, lunch and snacks, social events, clubs and sports leagues What you'll bring • Strong low-level GPU programming in CUDA — Tensor Cores, cooperative groups, graphs, warp-level intrinsics, • Deep familiarity with the internals of frameworks such as PyTorch, JAX or TensorFlow, • Solid grounding in computer architecture, • C++ and Python Bonus points for • The JAX ecosystem (XLA, Flax and similar), • GPU tooling — Triton, CUB, cuDNN, cuBLAS, • Linux systems programming, • Large-scale distributed training, • Open-source contributions in ML or data science About the firm A major market maker active on 100+ exchanges worldwide, focused on improving markets by adding liquidity, pricing accurately and increasing transparency in all conditions — with the health and efficiency of those markets a priority for every participant.

AI Architect, AI & Automation-Insurance About the Role The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience: • Experience architecting and implementing AI/ML solutions across multiple domains, including:, • Generative AI and Large Language Model (LLM) based solutions, • Predictive and prescriptive Machine Learning models, • Computer Vision, • Natural Language Processing (NLP) and Conversational AI, • Intelligent Document Processing (IDP / iOCR), • Agentic AI systems and multi-agent orchestration., • Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring., • Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques., • Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP)., • Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures., • Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines., • Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch., • Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI., • Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance., • Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures., • Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations., • Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation., • Travel to client sites and for practice work efforts is required on an as needed basis. Additional Consulting Responsibilities • Client Relationship and Development: Leads team interactions with clients, including clients at senior levels. Anticipates and proactively addresses client’s needs. Earns client’s respect and appreciation., • Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion., • Value and Expertise: Establishes focus area and concentrates deployment and delivery in that area. Establishes track record in focus area. Begins to contribute thought leadership and IP in focus area., • People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team members have skills needed to execute and deepen their expertise while on the project. Has counselees and meets them regularly. Helps them understand strengths and weaknesses, set realistic targets, and establish development plans that balance firm needs and personal aspirations., • Consulting Behaviours: Develops focus area or specialization. Builds personal brand. Leads and mentors others. Cares about development of junior consultants and invests in their progression. Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to enhance client solutions and identify new opportunities for Consulting work. Reads situations and adjusts personal approach accordingly. Adopts behavior and language appropriate to the situation, to stay effective in different environments. Stays abreast of market developments in practice or discipline. Identifies threats and opportunities and positions to meet them; proactively learns new skills and abilities to stay relevant., • Leadership and Firm Development: Leads delivery teams effectively, providing direction, guidance, motivation, course correction, and air cover as appropriate. Supports development of innovative thinking. Understands the Infosys Consulting business drivers and KPIs needed to build an effective and successful business. Represents Infosys through appropriate application of Infosys' sales and marketing materials/publications (service offerings, blog posts, etc.). Plays a key role in practice or firm-building activities. Takes bottom-line responsibility for firm building deliverables or activities., • Sales: Supports Associate Partners and Partners in pursuit and proposal work. Identifies opportunities from client work and relationships; raises them to appropriate Associate Partner or Partner for action. Basic Qualifications • Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or foreign equivalent required., • Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer), • Minimum of 10 years of relevant work experience with 2 years of experience in comparable consulting services., • Strategic mindset and the ability to lead and develop other team members., • Multitask, engage with stakeholders, plan effectively, and consistently achieve operational goals., • Excellent relationship-building abilities., • Ability to collaborate with resources in global delivery model., • Experience in leading programs using Agile and/or hybrid methodologies., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • MBA or equivalent advanced degree, Industry-related certification preferred., • Creative problem solver, • Strategic mindset and the ability to collaborate with other team members For candidates based out of CA, WA, NY, IL, MN,NJ states, estimated annual gross compensation range is $154,375 to $193,125 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level, • Paid holidays plus Paid Time Off EEO/About Us : About Us Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale. Infosys Consulting is helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Position: Forward Deployed Engineer Location: New York, New York Duration: Contract - Long Term Job ID: 178996 Job Overview: This is a highly embedded, client-facing engineering role. The individual will serve as a Forward Deployed Engineer, working directly with Fixed Income business users, technology teams, quants, operations, and control functions. The role involves identifying high-value AI use cases, translating business workflows into technical designs, and building production-grade AI solutions. This is not an advisory role; the successful candidate will be expected to work closely with the business, understand front-office and operational workflows, write code, test solutions, debug issues, and help move AI use cases from concept to controlled production adoption. The ideal candidate will combine strong software engineering skills, practical generative AI experience, and a consultative approach to working with senior business stakeholders in a regulated financial-services environment. Responsibilities: • Embed with Fixed Income teams in New York to understand business workflows, pain points, data availability, and AI opportunities., • Partner with traders, sales, research, operations, risk, compliance, and technology stakeholders to translate business requirements into AI-enabled solutions., • Design, prototype, and build generative AI applications using Python, OpenAI or Claude Agent SDK, and other agentic frameworks., • Develop AI solutions for Fixed Income use cases such as knowledge retrieval, workflow automation, document analysis, trade support, client intelligence, operational exception handling, and management reporting., • Build retrieval pipelines across structured and unstructured data, including research, policies, procedures, trade-related data, market commentary, client documents, and internal knowledge repositories., • Apply prompt engineering techniques to improve model accuracy, consistency, explainability, and user trust., • Design evaluation frameworks to test AI outputs for accuracy, completeness, hallucination risk, relevance, and compliance alignment., • Ensure solutions meet enterprise standards for security, data privacy, auditability, access control, and model governance., • Communicate technical trade-offs clearly to both engineering teams and business stakeholders., • Support user adoption by gathering feedback, refining workflows, and ensuring AI tools solve real business problems., • Identify reusable patterns, accelerators, and components that can be scaled across other financial-services use cases. Qualifications: • Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience., • Strong hands-on experience with Python and modern software engineering practices., • Practical experience building applications using Python, OpenAI or Claude Agent SDK, and other agentic frameworks., • Strong understanding of prompt engineering, including prompt design, prompt testing, grounding, context management, and output validation., • Experience building AI or data-driven applications that use APIs, databases, cloud services, and enterprise data sources., • Ability to work directly with business stakeholders, lead discovery discussions, clarify ambiguous requirements, and convert business problems into technical solutions., • Strong communication skills and the ability to explain AI concepts, risks, and design choices in clear business language., • Experience working in agile, fast-moving environments where prototypes must quickly evolve into production-ready solutions. Preferred Qualifications: • Financial-services experience, ideally within capital markets, Fixed Income, trading, sales, risk, operations, or banking technology., • Familiarity with Fixed Income products such as rates, credit, securitized products, municipals, FX, or derivatives., • Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence., • Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and model performance monitoring., • Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services., • Experience in a forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery role., • Exposure to cloud platforms, secure APIs, authentication/authorization, and enterprise integration patterns. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: • Pay any fee to be considered for, submitted to, or selected for any opportunity., • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process., • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $80.00 - $89.00/hr. on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations. sid.miller@ptrglobal.com

Please apply here - https://findautumn.com/careers/full-stack-engineer About Us We're building the future of hotel software — an AI-Native Hotel OS that is redefining how hotels operate. We're replacing fragmented, clunky legacy systems and bloated back-office teams with an intelligent, unified platform. We've already proven strong product-market pull and have a fast-growing customer base across the US, Canada, and Mexico. We're a seed stage company backed by Tier 1 investors (led by Bessemer Venture Partners), and moving quickly to define a new category in one of the world's largest verticals. About the role We're hiring a full-stack engineer to join our founding engineering team. We lean heavily on AI tools to ship a lot of product, fast, and we have a substantial roadmap ahead of us. You'll work directly with the founders, own products and systems end to end, from ambiguous problem to shipped, reliable feature, and depending on the candidate, this role can evolve into an engineering leadership role quickly. Please apply sooner rather than later — we review applications as soon as they come in! What you'll do: • Ship across the full codebase: backend, frontend, integrations, and AI systems, • Architect and scale the platform as we expand into the full hotel operating system, • Help set the standards for reliability, security, observability, and engineering quality Our tech stack • TypeScript across the entire stack, • Backend: NestJS with PostgreSQL and TypeORM, • Frontend: React and Next.js with Tailwind CSS, • AI: Anthropic and OpenAI models via the Vercel AI SDK, voice with ElevenLabs, agentic workflows in production, • Infra: AWS and Vercel, Stripe for billing You don't need experience with every item on this list. Strong TypeScript and modern web fundamentals matter most; the rest can be learned here. Experience • Bachelor's in Computer Science, or an equivalent rigorous CS background, • 1–3+ years building and owning full-stack web apps end to end, • Prior startup or founding engineer experience is a strong plus Who You Are • Fluent in modern product engineering. You have built and operated production software using contemporary web, cloud, and data technologies. You learn unfamiliar systems quickly, stay current with the evolving technology landscape, and make pragmatic decisions about when to adopt, replace, or simplify tools., • AI-native in how you build. You are highly effective with AI-assisted and agentic development tools and know how to use them to improve engineering speed, quality, and leverage, not simply generate more code. You can establish thoughtful practices around context management, testing, code review, security, documentation, evaluation, and human oversight., • Comfortable at the earliest stages. You operate well with ambiguity, move quickly, and know when to introduce structure without slowing the team down., • An owner. You take a business problem and run with it, delivering high-quality solutions without micromanagement or granular requirements. Scrappy, resourceful, and proactive., • A strong communicator. You can articulate technical decisions and tradeoffs to non-technical stakeholders, in writing and in person. AI Systems Experience We're looking for someone who understands that production AI systems require more than model access and prompt engineering. Strong candidates will have experience with several of the following: • Building and evaluating LLM-powered agents and workflows, • Agent orchestration, tool use, retrieval, and context management, • Human-in-the-loop systems, permissions, guardrails, and failure recovery, • Observability, debugging, testing, and versioning for AI systems, • Managing the cost, latency, and reliability of nondeterministic systems, • Measuring the product and business impact of AI-powered workflows Nice to Have • Shipping AI-native products in real production environments, • Fast-growing startup experience: ship-fast culture, low bug tolerance, high ownership, • Vertical SaaS, marketplace, or workflow software experience, • Complex integrations and data-heavy systems, • Hospitality, travel, or adjacent industry experience What we offer • Founding team role — a key part of the technical team, with a front-row seat to how a top venture-backed, AI-native vertical SaaS company gets built, • Meaningful equity and a competitive salary, • Top-tier health coverage — medical, dental, and vision insurance, • Room to grow — leadership opportunities as you build skills and experience, • Autonomy and direct impact — technical ownership of the entire codebase and real influence on product direction and architecture, • Company perks — lunch and fitness stipends, complimentary snacks, and weekly happy hours Location This role is four to five days a week in person in New York City and candidates must be authorized to work in the United States.

Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 Responsibilities • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • Contribute to the modernization of a custody system with financial market impact. Experience Requirements • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred)., • Investment industry knowledge (preferred). Education Requirements • BS degree in Computer Science or Engineering.

About the Role We are seeking an experienced Software Engineer to join our engineering team responsible for building and maintaining both consumer-facing and internal back-office applications. In this role, you will develop scalable, high-performance systems that support Kashable’s consumer lending and employee benefits platform. This position involves working across the full technology stack—including backend Java development, database design, cloud and SaaS integrations, ETL processes, and modern front-end frameworks—while collaborating closely with senior engineers and cross-functional teams. The ideal candidate brings strong experience building large-scale enterprise applications, a solid understanding of object-oriented design and software development best practices, and a commitment to delivering reliable, high-quality code in a fast-paced, agile environment. Duties & Responsibilities • Develop and maintain highly performant, scalable subsystems and decision engine components that allow us to stay nimble in the fast-paced and evolving business of consumer lending and employee benefits, • Work across multiple layers of product infrastructure, including relational database development, low-level protocol integrations, ETL operations and automation, SaaS/PaaS cloud integrations, and frontend development. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential, • Execute architectural designs from Senior Engineers by writing efficient, reusable, and reliable source code in Java -- and other languages where applicable, e.g., SQL for RDBMS development, • Embrace best practices in software development (Code Reviews, Unit Tests, CI/CD) and leverage them every day Required Skills & Abilities • Proficient in Java, with a good knowledge of its ecosystems, • Solid understanding of OOP concepts and various design/programming patterns, including concurrency patterns, • Familiarity with Java Streams and Optional, • Familiarity with concepts of MVC, JDBC, CRUD/REST, and multi-tier architecture, • Familiarity with SCM tools, such as Git, • Familiarity with Spring and Hibernate, • Familiarity with build tools such as Ant, Maven, and/or Gradle, • Experience with relational database(s) and proficiency in SQL, • Experience with non-relational database(s) / NoSQL, • Experience with JavaScript and various front end libraries, or familiarity with front end frameworks, such as React, Angular or Vue, • Experience with Next.JS, • Familiarity with basic markup languages, such as HTML, XML, and JSON, • Familiarity with Unix/Linux operating system, • Experience with AI tools such as Claude, Cursor, ChatGPT, Grok or Gemini, • An appreciation for open and constructive dialog with your fellow team members Nice to Have: • Familiarity with basic integrative protocols, such as HTTP, FTP, SSH/SCP, JMS, SMTP, SMB, and JDBC, • Familiarity with basic security concepts, such as SSL/TLS, OAuth, encryption, • Familiarity with basic cloud concepts, such as AWS, GCP, and/or MS Azure, • Familiarity or proficiency with other programming languages, such as Python, • Familiarity with or proficiency with React Native/Expo development, • Familiarity with the TypeScript programming language, • Familiarity with Agile methodologies Work Location This is a hybrid position based in our New York City office. Education & Experience • BS Or MS in Computer Science or a related field., • 3+ years of experience in Software Engineering or related roles, preferably within FinTech or a regulated industry. The pay range for this position is $100,000 to $200,000 annually. Actual compensation will depend on experience, qualifications and job related skills. We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. Kashable is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law. Kashable is not able to provide visa sponsorship for this role About Kashable Kashable is a fast growing, venture-backed FinTech startup headquartered in NYC. We provide inclusive, socially responsible, low-cost credit to American employees offered as a voluntary benefit through their employer. Kashable has raised over $400 million in capital, and has provided more than $1.5 billion in loans to working Americans across a footprint of employer clients that represent 4 million employees. We were founded in 2013 by a team of serial entrepreneurs with deep experience and expertise in the industry, and have since become the leading provider of financial wellness solutions at the workplace, catering to many Fortune 500 companies, governments, hospitals, and universities. We are a dynamic, ambitious, and hard-working team that is redefining financial wellbeing for working Americans. Perks & Benefits We offer a competitive salary, benefits, and perks designed to support both your professional growth and day-to-day wellbeing, including: • Medical, Dental (including Orthodontics), and Vision coverage, • PTO and paid holidays, • 401 (k) Plan with employer match, • Paid Parental Leave, • ClassPass subsidized membership, • Voluntary Life and disability insurance, • Commuter benefits, • Pet insurance, • Flexible Spending Accounts (FSAs), • Weekly catered lunch and fully stocked kitchen, • Team events, lunch & learns, happy hours, birthday celebrations, volunteer opportunities

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™ Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team We are building a new, focused team within Tinder that feels a lot like a startup—nimble, efficient, and centered on building innovative features for the next generation of users. This role comes with a lot of ownership and visibility, as you’d be the founding Android engineer on the team and shape how we build the product, define architecture, and work closely with teams across the company to bring new ideas to life. You should be product- and user-oriented, and comfortable with autonomy and ambiguity. Where You’ll Work This is a hybrid role and requires in-office collaboration three times per week. This role is based out of our New York, NY office. In This Role, You Will • Lead the architecture design and implementation of consumer-facing features in the Tinder app, • Build compelling new in-app experiences that will reach tens of millions of users globally, • Coordinate with product and design teams and influence the roadmap and product development of the Tinder app and services, • Create and maintain internal shared frameworks and libraries, • Mentor, collaborate, and learn with innovative and passionate team members You'll Need • 8+ years of professional experience developing native iOS applications, • Extensive experience building applications using Swift, • Strong software design skills, including a deep understanding of design patterns (e.g., Clean / MVVM / VIPER, and the benefits of each) and dependency injection, • Understanding of design guidelines (i.e. you know how to be a good iOS citizen while maintaining a strong unique brand identity), • Clear communication style within a collaborative team environment, • The ability to combine good judgment, empathy, and technical skills Nice To Have • BS or MS in Computer Science or Engineering Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: _If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Ambitious Full Stack Engineer (Backend Leaning) | Build From 0 → 1 | NYC The Opportunity Some engineers join a team. Others get in early enough to help shape what the team becomes. This is one of those opportunities. We're looking for an ambitious Full Stack Engineer with a strong backend focus who wants real ownership from day one — not "join a team and pick up tickets." You'll be joining one of NYC's fastest-growing start-ups, helping build and scale a product that's already operating at serious volume. Billions of interactions. Rapid growth. Serious backing. A product with genuine momentum. If you're hungry, technically sharp, and want to be one of the engineers helping shape what comes next, keep reading What You'll Do • Design, develop, and maintain software systems, • Collaborate with cross-functional teams to integrate technology solutions seamlessly, • Focus on back-end web development, including programming and debugging, • Implement scalable solutions, • Contribute to all phases of the software development lifecycle About You You're looking for the opportunity that could define your career. You've probably spent your spare time building side projects, launching apps, competing in hackathons or interning with ambitious start-ups because you genuinely love creating products. You enjoy solving difficult problems, learn incredibly quickly and thrive in environments where ownership is expected rather than given. You don't wait for instructions — you identify problems, propose solutions and make things happen. You'll ideally have a Bachelor's degree at a top university in Computer Science, Software Engineering or a related discipline, and be excited by the pace, responsibility and learning that only an early-stage company can offer. Required Technologies and Skills • 1–5 years of software engineering experience, • Strong software engineering fundamentals and Object-Oriented Programming (OOP), • Proficiency in TypeScript and PostgreSQL, • Experience building backend applications The Company This organisation is a fast-growing, red-hot technology firm that provides a platform connecting diverse users with commercial opportunities through authentic content. They are hitting startling numbers with billions of interactions and a client base growing quickly. Backed by major recent investment and already delivering exceptional growth, they're scaling at serious speed. They are a focused, high-IQ team who are prepared to do what is needed to get the job done. The team comes to the office every day and always achieves something before they head home. Why You Should Join This Job This is a company going places — fast. Backed by serious momentum, strong investment, and an ambitious vision, they're building something people genuinely believe in. The energy across the team is high and the talent density is exceptional. The people you'll work with could work anywhere, but they believe in this mission and have chosen to build here. Joining now puts you at the heart of that growth. As one of the early engineers, you'll have real influence on the product and the chance to accelerate your career massively. You won't just be another hire — you'll help shape the company. You will be well rewarded: strong compensation, meaningful bonuses, and equity are all on the table. Location Manhattan , NYC (Financial District). This is a full-time, on-site role working in the office, 5 days per week. Not based in New York? No worries — all expenses will be covered for interviews and meetings, and you'll be well supported by the team throughout your move to New York. The Money $130,000 – $200,000 + Bonus + Equity What You Should Do Now If you are a Software Engineer and would like to apply, click the link and send your resume. If you have questions about this job, please get in touch.

Immediate need for a talented Lead Machine Learning Engineer. This is a 06+months contract opportunity with long-term potential and is located in Newark, NJ(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-26966 Pay Range: $60/hr - $62/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: • Design, develop, and deploy ML models and Agentic AI solutions., • Build scalable cloud-based ML applications and data pipelines., • Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks., • Monitor model performance, governance, observability, and reliability., • Lead technical problem-solving and mentor engineering team members., • Develop applications using Python, C++, SQL, and modern AI frameworks. Key Requirements and Technology Experience: • Key skills; Traditional Machine Learning & Agentic AI, Expertise in MLOps, Model Deployment, and Cloud Engineering, Software Engineering & System Design, • Strong experience in Traditional Machine Learning and Agentic AI., • Expertise in MLOps, Model Deployment, and Cloud Engineering., • Solid background in Software Engineering and System Design., • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs., • Experience with CI/CD tools such as GitHub Actions, Jenkins, or Cloud Bees., • Strong understanding of data engineering, distributed systems, and AI lifecycle management., • Bachelor's degree in Computer Science, Engineering, or a related field., • Excellent problem-solving, communication, and collaboration skills., • Experience working in Agile development environments., • Total Experience- 14 years of experience, • Candidate should be within 40 miles of given work location. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy _.

Founding Engineer (Product and AI Agents) | New York, NY I am recruiting on behalf of a YC-backed seed-stage startup building the AI-native operating system for restaurant back-of-house. They are hiring a founding engineer to work as a second technical co-founder. About the company Restaurants still run on spreadsheets, clipboards and disconnected tools. This company replaces that stack. Computer vision and voice AI capture inventory 90% faster than manual counts, ML models forecast item-level demand at about 97% accuracy, and AI agents run workflows end to end, including procurement, invoice reconciliation, scheduling, prep and menu engineering. Founded in 2026, the team is fewer than 10 people in NYC. In under four months they signed 150+ restaurants across the US, Canada and Europe, and they have grown 25% week over week for three months straight. The role The company is deploying at scale and the CTO is currently the single technical point of failure. You will take big, vague problems and drive them to done. You will shape the roadmap, speak directly with customers, help sell the product and have a voice in strategy from day one. Some customers have custom workflows, so you may own those directly. What you will work on • Own the agent harness: context management, orchestration, persistent state and human-approval flows for agents handling real money, • Solve hard data problems: POS, accounting and payroll integrations, background jobs and pipelines that produce clean ground truth, • Make agents dependable: evals built from real operator workflows, failure tracing, recovery and escalation, and model choices based on production evidence, • Own the full lifecycle from order to the interface a manager approves it in, across backend services and React, • Help build early roadmap items, including payments infrastructure and a proactive assistant for restaurant managers What we are looking for • 1 to 3 years of experience, AI-native, with a product engineering (React) and/or LLM and agentic applications focus, • Strong fundamentals in Python or JS/TS, and willingness to become productive in both, • Tool-using agents shipped to production, with the ability to discuss harness design, evals and failure modes in depth, • Experience with LangGraph, LangChain or LangSmith, RAG, SQL and NoSQL data modeling, and sound judgment on agent loop versus deterministic workflow, • Something substantial you have built, and you can explain the architecture, trade-offs and what you would change, • Founder mentality: you have founded something, want to, or cannot stop building, • Strong product taste and attention to messy details, • Clear communication and comfort working directly with customers, • Early startup experience at a fast-scaling company is strongly preferred Tech Stack GCP, distributed systems, NoSQL, event-driven architecture, REST APIs, React, Python and TypeScript. If you want to know more about this role, please apply below and I will be in contact to discuss the role further.

Description Please note that this posting is for a contract assignment and is not a full-time employment opportunity with Amazon. Candidates selected for roles will be employed as contract workers through Amazon’s approved 3rd party Direct Source provider for the duration of the specified project and will not be an employee of Amazon. As a Data Engineer on the Shopbop team you will routinely solve complex data problems, unblocking critical projects that drive Shopbop's mission to be "the daily destination for style inspiration and discovery." Whether you are optimizing analytics that help marketing tune their strategies, building new pipelines to speed up delivery, partnering with our Science team to deliver AI solutions, or helping accounting drill down to track our business: your work will empower meaningful change for your customers. You will partner closely with stakeholders across the business and with the Data Engineering team to deliver new features, or pitch in to migrate legacy features to a modern AWS-based platform. You will be an active partner in the broader Amazon data engineering community (Amazon is Shopbop's parent company), taking part in learning series and operational reviews with industry-leading engineers. Shopbop is part of Amazon Fashion, but with a unique vibe and mission to serve fashion-oriented customers. The data engineering team frequently collaborates with teams across the business, providing opportunities to learn about the fashion industry and e-commerce (and employee discounts). We are looking for a candidate willing to be in person at our New York office (JFK94). Key Responsibilities: You will own projects that build new data pipelines, modernize existing ones onto our AWS-based platform, or refine pipelines to deliver more value for our customers. You will partner with colleagues across Shopbop to understand their business domains and build solutions that meet their needs, including working with our Science team to bring AI solutions to production. You will also be an active participant on the Shopbop data team, driving improvements to the team's operational health and reducing errors for customers. And you will take part in Amazon's engineering culture, learning from and teaching alongside the best, while making the most of AI-powered tools to work more effectively. Some of your tasks will include: • Architecting, designing, and implementing next-generation data pipelines and BI solutions built on AWS, • Building and optimizing ETL processes to improve data quality, reliability, and freshness, • Leveraging AI-powered developer and data tools to boost your own productivity and code quality, • Partnering with business stakeholders to translate their needs into scalable data solutions, • Collaborating with the Science team to build data foundations for AI solutions and bring them into production, • Improving the team's operational excellence through monitoring, automation, and error reduction This posting is for a contract assignment with Tundra Technical Solutions to provide services to Amazon. The pay range that Tundra in good faith reasonably expects to pay for this position is $77.24/hour - $87.54/hour. Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, and a New Child Benefit. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

U.S. citizenship is required for this position. Candidates must be eligible to obtain and maintain a U.S. government security clearance. An active Top Secret/SCI clearance is preferred but not required. PREDICTION is building advanced AI systems for national security. We are looking for an exceptional Founding AI Research Engineer to join our core technical team and help define the AI research direction of the company. This is a hands-on research and engineering role for someone who wants to work on difficult, real-world AI problems across video, imagery, text, sensors, structured data, and other signals. We are not looking for someone who simply connects existing APIs. We are looking for someone who can understand difficult machine learning problems, design new approaches, run rigorous experiments, build models, and turn successful research into systems that operate in the real world. The level is flexible. We are interested in exceptional candidates ranging from outstanding early-career researchers to Senior, Staff, and Principal-level engineers. What You’ll Work On • Multimodal AI and reasoning, • Computer vision and video understanding, • Vision-language models and foundation models, • Temporal reasoning and long-term context, • Sensor fusion and multimodal data fusion, • Behavioral understanding and anomaly detection, • Object detection, tracking, and representation learning, • Agentic AI systems, • Model evaluation, calibration, robustness, and uncertainty, • Training, fine-tuning, post-training, and optimization, • AI systems operating in secure, edge, and mission-critical environments What You’ll Do • Research and develop new AI capabilities from idea through deployment, • Design and test new multimodal architectures and approaches, • Train, fine-tune, benchmark, and evaluate deep learning models, • Build systems that reason across multiple types of data simultaneously, • Develop methods for video understanding and temporal reasoning, • Implement and evaluate ideas from current AI research, • Design rigorous experiments and evaluation methodologies, • Investigate model failures and improve reliability, accuracy, and robustness, • Rapidly prototype new ideas and turn successful research into production systems, • Work closely with engineers and national security professionals on real operational problems, • Help define PREDICTION’s long-term AI research and technical direction Who We’re Looking For We care more about exceptional technical ability than titles or years of experience. You may be completing a PhD. You may already be a senior researcher or engineer. You may have spent years publishing research, or you may have spent those years building exceptional systems. What matters is what you can build, discover, and demonstrate. Strong candidates will have deep experience in one or more of the following: • Machine learning and deep learning, • Multimodal learning, • Computer vision, • Video understanding, • Vision-language models, • Transformers and foundation models, • Temporal modeling, • Representation learning, • Sensor fusion, • Agentic systems, • Reinforcement learning or post-training, • Model evaluation and calibration You should have strong Python skills and significant experience with modern deep learning frameworks such as PyTorch. You should also be comfortable reading research papers, understanding the underlying ideas, implementing them, identifying weaknesses, and developing better approaches. What Will Get Our Attention We want to see evidence of exceptional technical work. That could be: • Research published at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, KDD, or another leading venue, • A model or ML system you designed and built, • An exceptional open-source project, • A technically difficult system deployed in the real world, • Original research with meaningful results, • A GitHub repository that demonstrates exceptional engineering ability, • Experience at a leading AI lab, technology company, national laboratory, or advanced research organization A PhD is valuable, but it is not required. Why PREDICTION At PREDICTION, you will not be one researcher among hundreds. You will join a small technical team where your work can directly influence the models, architecture, research agenda, product, and direction of the company. PREDICTION is a New York-based U.S. technology company building advanced AI systems for national security. The company was built alongside senior leaders from the U.S. federal government, Intelligence Community, and law enforcement, together with engineers and researchers from leading technology and academic institutions. We are looking for exceptional people who want significant technical ownership and the opportunity to solve problems that matter outside of a benchmark.

Client Overview Our client is a technology and services organization focused on helping higher education institutions modernise their operations, expand online learning, and deliver better experiences for students and educators. The organization develops AI-powered SaaS solutions that streamline workflows, connect critical systems, improve efficiency, and provide actionable data to academic institutions. Our client is seeking a Lead Software Engineer to provide technical leadership across a growing suite of enterprise SaaS applications. Salary/Hourly Rate $120k - $140k Position Overview The Lead Software Engineer will provide technical leadership across a growing suite of enterprise SaaS applications. The Lead Software Engineer will work closely with product and technology leadership to shape engineering strategy, design scalable solutions, introduce AI-powered development practices, and build agentic systems that integrate with existing products. This role is ideal for a hands-on Lead Software Engineer who combines strong software development expertise with strategic thinking, technical mentorship, and team leadership. The Lead Software Engineer will help establish engineering standards, improve software quality, guide technology decisions, and support the continued evolution toward scalable and serverless cloud infrastructure. Responsibilities Of The Lead Software Engineer • Lead technical strategy, architecture, and engineering initiatives across enterprise applications., • Partner with product leadership on prioritisation and enterprise-level feature design., • Define and document engineering policies, standards, and development best practices., • Identify and implement AI engineering tools to improve development efficiency., • Design and implement agentic systems using modern AI frameworks and technologies., • Provide technology recommendations and technical guidance to engineering teams., • Audit existing products and processes and recommend improvements., • Establish and lead code reviews, automated testing, CI, and QA practices., • Support high-level technical design, project planning, and implementation., • Help scale applications while advancing serverless cloud infrastructure where appropriate., • Mentor engineers and provide technical and career development guidance., • Support hiring recommendations, resource allocation, and project prioritisation., • Collaborate effectively across Product, UX, QA, Release, and Technology teams. Required Experience/Skills For The Lead Software Engineer • 5-8 years of professional software engineering experience., • Strong experience with multiple programming languages and modern frameworks., • Experience with Python, NodeJS, ReactJS, Bootstrap, and/or ANT Design., • Experience designing and implementing agentic systems and AI-powered solutions., • Hands-on experience with frameworks such as LangGraph, LangChain, LangFuse, or OpenAI Agents SDK., • Strong experience with AWS cloud services and serverless technologies., • Experience with AWS Lambda, SNS, API Gateway, and EC2., • Experience with PostgreSQL and/or AWS Aurora., • Experience with GraphQL and AWS AppSync., • Strong understanding of automated testing, code reviews, CI, and software quality practices., • Experience working in Agile software development environments., • Proven experience managing complex projects from conception through implementation., • Strong technical leadership, communication, stakeholder management, and team coaching skills., • Ability to influence technical decisions across engineering and product teams. Preferred Experience/Skills For The Lead Software Engineer • Experience with Golang., • Experience scaling enterprise SaaS applications., • Strong understanding of serverless architecture and cloud-native development., • Experience leading engineering teams and mentoring software developers., • Experience using AI tools to improve software development workflows., • Experience collaborating across Product, UX, Quality, and Release teams., • Strong client engagement and relationship management experience., • Experience working in rapidly changing, collaborative environments., • Familiarity with Google Workspace, including Docs, Slides, and Sheets. Education Requirements • Bachelor's degree in Computer Science, Engineering, or a related field preferred., • Equivalent professional experience will be considered. Benefits • Hybrid work environment with NYC office and remote flexibility., • Company-provided computer and charger., • 401(k) with company match., • Equity opportunities., • Medical, dental, and vision insurance., • Mental health benefits., • Employer-paid life and disability insurance., • Supplemental insurance options., • Health Savings Account and Flexible Spending Accounts., • Commuter benefits and pre-tax benefit options., • Employee Assistance Program., • Paid parental leave., • Wellness programs and resources., • Paid vacation, holidays, and sick leave., • Monthly mobile connectivity stipend., • Annual education and professional development stipend., • Employee discount program., • Career growth and development opportunities.

Hybrid 4 in New York, NY Our client is seeking a senior full-stack developer at the SVP level to design and build core equities engineering services that power real-time trading workflows. The role focuses on backend Java, Spring Boot, distributed systems, and messaging with Kafka or MQ to drive scalability, latency, and resiliency. You will modernize legacy components into cloud-native microservices, integrate AI-assisted development practices, and mentor developers while delivering mission-critical enhancements and support. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $95.00 to $105.00/hr. w2 JN -052026-106972 Responsibilities • Design and build trading and messaging channels interfacing with venues and exchanges using industry-standard protocols., • Operate mission-critical systems and deliver day-to-day enhancements across front office and operations., • Design and develop core Java components leveraging messaging systems such as Kafka and MQ., • Coordinate and execute internal system testing procedures., • Collaborate across platform teams within a platform operating model., • Deliver and maintain applications within the equities domain with a focus on reliability and performance., • Provide second-level production support and troubleshoot issues under pressure., • Mentor junior developers and contribute to engineering best practices., • Re-engineer and modernize the platform toward scalable microservices and cloud-based architectures., • Drive migration and consolidation efforts for order management systems. Experience Requirements • 10+ years of software development with strong proficiency in Java, SQL, and Git., • 10+ years in business analysis and trading systems analysis or administration., • Strong experience with messaging and data protocols including Kafka and MQ; familiarity with FIX and FpML., • Proficiency with Spring, Spring Boot, and Spring Integration., • Proficiency in data standards and data modeling., • Comfort with cloud environments and DevOps practices including build, deploy, debug, and pipelines., • Familiarity with Windows and Linux environments., • Knowledge of equity products and instruments., • Familiarity with AI coding-assist tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code., • Experience operating distributed, real-time systems with a focus on scalability, latency, performance, and availability., • Production support experience with strong troubleshooting and debugging skills., • Experience with application profiling and performance tuning., • Experience with order management systems and smart order routing (preferred)., • Experience managing trade data feeds and downstream integrations (preferred)., • Understanding of equities trade life cycles (preferred)., • Understanding of the regulatory landscape from a developer perspective (preferred)., • Familiarity with Angular and Python (preferred)., • Experience with in-memory caching such as Hazelcast, Redis, or GemFire (preferred)., • Experience with monitoring and observability tools such as Splunk (preferred)., • Cloud architecture and scalability design experience (preferred)., • Hands-on FIX protocol experience (preferred)., • Strong communication and organization skills. Education Requirements • Bachelor’s degree in computer science or a related discipline, or equivalent work experience. Advanced degree preferred.

Job Title: Machine Learning Engineer Location: NYC Firm Overview: Cantor Fitzgerald L.P., with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. Cantor Fitzgerald & Co. is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and for its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. For 79 years, Cantor has consistently fueled the growth of original ideas, pioneered new markets, and provided superior service to clients. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations around the world. As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and solid relationship building. Our structure allows us to respond quickly to client needs, develop solutions that address complex challenges, avoid the limitations of bureaucracy, and attract talented individuals who are driven to succeed. ML Engineer We're looking for an early-career engineer to help build, evaluate, and improve AI-powered applications for a large-scale financial services business. It's best suited to someone with strong software fundamentals, hands-on experience with modern AI tools, and curiosity about how language-model systems behave in real products. Required Qualifications • Bachelor's degree in a technical field (computer science, machine learning, mathematics, physics, statistics, econometrics) or equivalent practical experience., • Experience contributing to production or production-like software, whether through work, internships, research, open source, or substantial personal projects., • Strong programming ability in at least one language, preferably Python, with clear, tested, maintainable code., • Experience working with web services, data integrations, testing, logging, and basic monitoring, across both structured and unstructured data., • Hands-on experience building with large language model (LLM) tools or frameworks — some mix of prompting, structured outputs, tool-calling, retrieval, or multi-step workflows — and awareness of common failure modes like hallucination, poor grounding, prompt sensitivity, cost, and latency., • Exposure to testing or evaluating LLM-powered applications: building test sets, reviewing failures, defining success metrics, and improving prompts or retrieval based on what you observe., • Practical grounding in machine learning, statistics, and experimental design, with the ability to reason about model behavior and learn from technical papers and documentation., • Strong communication skills, comfort working with product, engineering, and business partners, and interest in applying AI responsibly in financial services (privacy, security, human review, appropriate use of automation). Nice to Have • Familiarity with common agentic workflows and orchestration frameworks and with standards for connecting models to tools and data., • Familiarity with common evaluation and observability tools., • Exposure to human-in-the-loop workflows, guardrails, or responsible-AI practices for higher-stakes applications., • Familiarity with cloud deployment, containers, and modern release pipelines., • Awareness of fine-tuning methods and when they're worth using. Educational Qualifications: • Bachelor’s Degree required Salary: $140,000 - $160,000 The actual base salary will be determined on an individualized basis considering a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package (including health, vision, and dental insurance, paid time off and a 401(k) retirement), this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.). We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.

JOB TITLE: AI Principal Engineer REPORTS TO: Engineering & Product Leadership, Silverside.AI Role Type: Full-time hybrid; contract-to-hire with a 30-day mutual evaluation period Location: New York, NY (hybrid, regular in-office presence) Position Summary Silverside.AI is seeking an AI Principal Engineer to own architecture and technical direction for its New York engineering pod. This is a hands-on architecture and leadership role focused on designing, building, and scaling the applications and pipelines that power Silverside's AI-driven video and content production systems and agentic workflows. The ideal candidate is a strong senior technical individual contributor, roughly 4–7 years of professional experience, who has already begun mentoring others, designs systems with real architectural conviction, and communicates effectively in client and internal meetings. Prior VP or extensive people-management experience is not required; this is an opportunity for a high-potential senior engineer to step into formal technical leadership of a high-performing contractor pod while remaining deeply hands-on. The AP Principal Engineer will set technical direction for a team of senior full-stack developers, drive modular system design, and help shape the product roadmap for the Silverside Experience Engine. Essential Duties & Responsibilities • Own architecture and technical direction for the Silverside New York engineering pod, providing clear system design, hands-on mentorship, code reviews, and day-to-day technical oversight so the team delivers high-quality work aligned with product and company goals., • Architect and build scalable full-stack applications, with a strong emphasis on robust backend systems (Python / FastAPI and related modern frameworks), that power AI-driven video and content production pipelines and agentic workflows., • Break complex AI production and agentic workflow challenges into clean, modular, maintainable systems for generation, processing, optimization, and delivery., • Integrate AI/ML models, fine-tuned image and video models, generation APIs, and proprietary workflows into reliable production pipelines., • Set and enforce development standards, testing practices, and deployment discipline across the pod., • Collaborate closely with product, design, and engineering peers to ship full applications and continuously improve AI content systems and internal tooling., • Optimize performance and scalability for high-volume video and media processing workloads., • Troubleshoot and resolve issues in live production environments with urgency and clarity., • Contribute directly to Silverside's growing AI content and agentic workflow ecosystem supporting major enterprise clients., • Present technical architecture, system design decisions, and solution approaches with clarity and confidence in internal roadmap discussions and, when needed, in client or partner meetings., • Partner with C-suite and product leadership on technical prioritization and the evolution of the core platform. Other Duties and Responsibilities • Provide meaningful, though not primary, client-facing technical presence as needed to support sales, partner, or account conversations. Required Knowledge, Skills, and Abilities • Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience., • 4–7 years of professional full-stack development experience, with meaningful hands-on work building production systems involving AI, machine learning, creative media, video, or content generation pipelines., • Strong backend proficiency in Python and modern frameworks (FastAPI, Flask, or Django), with experience designing and operating scalable APIs and services., • Solid secondary frontend skills in contemporary frameworks (React, Svelte, or similar) sufficient to collaborate on and occasionally contribute to user-facing AI tools and interfaces., • Demonstrated ability to design modular, maintainable systems and to discuss architecture with clarity and genuine passion., • Hands-on experience integrating AI/ML models or generation APIs into production workflows, ideally in creative, media, or video contexts., • Experience mentoring or coaching other engineers and raising the bar on code quality, testing, and engineering practices., • Strong written and verbal communication skills, with comfort presenting technical ideas to both technical and non-technical stakeholders, including in client or sales-adjacent settings., • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and modern deployment practices., • Preferred (Nice-to-Have), • Experience with video/media tooling such as FFmpeg, OpenCV, or cloud rendering services., • Prior work in creative industries, AI-generated content, marketing technology, or enterprise digital production environments. Physical Demands • n/a Salary & Benefits: For candidates in New York, the base salary range for this role at the time of posting is $200,000 to $225,000. For candidates in smaller, mid-Atlantic markets, the base salary range for this role at the time of posting is $170,000 to $220,000. The salary an employee or prospective employee is paid within this range will depend on factors such as but not limited to: internal compensation of current employees in similar roles, market considerations, budgetary considerations, level of responsibility, background, experience, and qualifications. Full-time employees enjoy a competitive benefits package for you and your dependents to ensure a healthy lifestyle. Our benefit offering includes: medical, dental, vision, basic and supplemental life & AD&D, 401(k) with company match, short-term and long-term disability, HSA, and FSA. Additional Information: Silverside AI is an Equal Opportunity Employer and participant in the US Federal E-Verify program. At this time, we are not accepting resumes or candidates from third-party vendors.

Applications accepted until October 31st 2026 Summary: We are seeking a Senior Engineer to design, build, and support solutions across global merchandising technology platforms. This role is responsible for delivering high-quality solutions, owning key application areas, and contributing to technical direction. This role works across a dual legacy and modern environment, supporting existing systems while contributing to modernization, optimization, and platform evolution. Technology Delivery & Execution: • Design, develop, and maintain applications and services supporting merchandising capabilities • Deliver enhancements, integrations, and defect resolution across platforms, • Contribute to development and integration of AI/ML-driven features within applications and services • Utilize AI-assisted development tools (e.g., Copilot) to improve coding efficiency and quality • Ensure solutions meet performance, scalability, and reliability requirements, • Participate in system monitoring, support, and incident resolution Core Platforms & Capabilities: • Own and support a set of applications or capabilities, which may include:, • Planning (allocation, assortment, MFP), • Pricing, promotion, and markdown, • Core merchandising and item/product systems, • Inventory, replenishment, and size/pack optimization, • Support and enhance legacy platforms while identifying opportunities for improvement and modernization Engineering Practices: • Follow engineering best practices for coding, testing, and deployment, • Demonstrate proficiency across multiple technologies and languages, adapting to different systems and platforms as needed • Contribute to code reviews and ensure adherence to standards, • Build and maintain integrations using APIs, messaging, and data pipelines, • Support CI/CD pipelines and automation efforts Execution & Collaboration: • Work with cross-functional teams to deliver projects, enhancements, and fixes, • Collaborate across onshore/offshore teams and time zones, • Participate in agile ceremonies including sprint planning and retrospectives, • Communicate technical solutions clearly to business and technical stakeholders Modernization & Improvement., • Contribute to efforts to refactor, migrate, or replace legacy systems, • Identify opportunities to improve system performance and maintainability, • Help drive simplification and consolidation of technology platforms Required Qualifications: • Bachelor’s degree in Computer Science, Engineering, or related field, • 5–8 years of experience in application development and support Preferred Qualifications: • Experience with enterprise platforms and distributed systems, • Strong experience with APIs, integration technologies, and databases, • Experience working across legacy and modern environments, • Familiarity with data-driven and AI-enabled solutions, with interest or experience in applying machine learning or intelligent automation in enterprise environments • Experience with cloud platforms, CI/CD, and DevOps tools, • Strong analytical and problem-solving skills, • Experience working in global, distributed teams Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO Statement: Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Senior AI Software Engineer (Full Stack) At Dioptra, we're transforming the way enterprises do business by turning contracts into structured business intelligence that powers enterprise systems. We're accelerating that vision by combining industry-leading AI technology with a world-class engineering team. As an early member of the Dioptra team, you'll work alongside the founders who built one of the industry's most advanced contract AI platforms and help define the future of enterprise legal technology. This is an opportunity to work on cutting-edge AI agents, influence product direction, and solve complex technical challenges in a rapidly growing market. About the Role We're looking for a Senior AI Software Engineer to help build the next generation of AI-powered contract intelligence products. You'll collaborate closely with engineering, product, and design teams to architect, develop, and scale intelligent applications that combine modern AI capabilities with enterprise-grade software engineering As one of the early engineers on this team, you will • Design, build, and maintain Agentic AI-powered applications across the full stack, • Develop intelligent workflows using modern agentic frameworks, • Architect scalable backend services and user-facing applications, • Build reliable integrations with enterprise systems and cloud infrastructure, • Drive engineering best practices, technical strategy, and architectural decisions, • Define success metrics and continuously improve product performance, • Partner directly with leadership and product teams to deliver customer value, • Take ownership of major technical initiatives from concept through production Required Qualifications Experience • 4+ years of professional experience building AI-powered software products (8+ years preferred for senior candidates), • Experience working in a SaaS startup or other fast-paced product environment, • Proven ability to thrive in ambiguous, rapidly evolving environments., • Daily experience using AI-assisted development tools such as Cursor, Codex, or similar Technical Skills • Strong proficiency in Python, • Experience with SQL and relational databases (PostgreSQL preferred)., • Hands-on experience building applications using LLMs from OpenAI, Anthropic, or similar providers., • Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen, • Experience designing and deploying production AI applications., • Familiarity with CI/CD pipelines, Git, and modern software development practices, • Experience with containerization and cloud platforms, including Docker, Kubernetes, AWS, Azure, or Google Cloud Platform, • Understanding of LLM evaluation, monitoring, and observability., • Experience training or fine-tuning models is a plus. Education • Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience. What We're Looking For Successful candidates will demonstrate: • A product mindset with the ability to balance speed and quality, • Comfort owning complex technical challenges with minimal direction, • Excellent collaboration and communication skills., • A desire to make a significant impact as part of a small, high-performing team Pluses We're especially interested in candidates who have: • Built and shipped production AI applications, • Worked at high-growth startups, • Experience across both backend and frontend development., • A track record of driving technical initiatives and mentoring other engineers Why Join Dioptra? • Work directly with the founders behind one of the industry's leading AI contract platforms, • Build state-of-the-art AI agent technology used by enterprise customers, • Own meaningful technical decisions and influence product direction., • Join a small, highly collaborative team with significant autonomy., • Help shape the future of enterprise AI and contract intelligence.

Role: SVP Head of Market Data Engineering (C++) Location: NYC NY/Jersey City NJ(2-3 days Onsite/Week) Full Time Permanent We are seeking an exceptional and highly seasoned C++ engineer to assume the role of Senior Vice President, leading our Equities Market Data engineering team. This is a senior leadership position responsible for the architectural vision, strategic direction, and flawless execution of our global, ultra-low-latency market data platform. The primary objective of this role is to engineer and safeguard the foundational data layer that powers our entire electronic trading franchise, ensuring our algorithmic and quantitative strategies have a decisive speed and data quality advantage in the market. Qualifications: • 10+ years of extensive, hands-on experience in C++ development, with a proven track record of designing, building, and managing mission-critical, low-latency systems in a high-frequency trading environment., • Expert-level mastery of modern C++ (C++17/20), including deep expertise in templates, concurrency, memory management, and performance optimization., • Profound understanding of low-level systems programming, network protocols (TCP/IP, UDP, multicast), and experience with kernel-bypass technologies., • Demonstrable experience in building and optimizing market data feed handlers for major equity exchanges. A comprehensive understanding of exchange-specific protocols is essential., • Deep knowledge of Equities market structure, data normalization, and the nuances of processing high-volume, time-sensitive financial data., • Proven experience in a technical leadership or architectural role, with the ability to guide and mentor a team of highly skilled engineers., • Exceptional problem-solving and analytical skills, with the ability to diagnose and resolve complex, time-critical production issues., • Bachelor’s degree/University degree in Computer Science, Engineering, or a related field is required; a Master’s degree is highly preferred.

About the Company OneTrack connects systems of record with places of action. We deploy AI for the companies that run the physical economy. Our platform, OneTrack AiOn, connects business systems, operational data, and company knowledge so teams can build applications, answer complex questions, and automate work across their organization. Today, we partner with some of the largest companies in logistics and manufacturing, including clients like Church & Dwight, Ecolab, The Wonderful Company, CJ Logistics, Ryder, GXO, and many others. Some clients deploy AiOn using their existing software and data. Others combine it with OneTrack’s sensors and computer vision to connect what happens on the floor with what lives in their systems. About the Role We’re looking for a Forward Deployed Engineer to embed with clients and turn that capability into everyday practice. You’ll work alongside frontline teams, operations leaders, analysts, and IT to understand how their business runs, identify valuable problems, and build solutions that become part of how they operate. You’ll own the path from an ambiguous business problem to a working deployment: understanding the workflow, connecting the data, validating the logic, shipping the solution, and helping people use it successfully. Responsibilities • Embed with client teams. Spend time on site and in their working routines. Learn how decisions get made, where work gets stuck, and which problems are worth solving first. Turn those findings into a deployment plan with clear owners and measurable outcomes., • Connect and make sense of their data. Work with client IT and data owners to bring together ERP, warehouse and labor management systems, data warehouses, APIs, spreadsheets, and documents. Resolve inconsistent identifiers, unclear definitions, and data quality issues., • Teach AiOn how the business works. Capture the client's terminology, processes, relationships, and operating rules as reusable knowledge and skills. Translate agreed calculations into tested procedures so teams get consistent, trustworthy results., • Build applications and automations. Use AiOn’s tools and write code where needed to deliver dashboards, operational apps, recurring analyses, alerts, and agent workflows. Carry solutions through testing, rollout, troubleshooting, and ongoing refinement., • Deploy with and without sensors. Deliver value from existing business data alone. When a use case benefits from physical visibility, partner with OneTrack’s hardware and field teams to incorporate sensor events, telemetry, and vision insights., • Establish permissions and ownership. Work with clients to define who can access data, approve actions, maintain business context, and own each workflow. Validate that the deployment behaves correctly for different users and sites., • Build client capability. Run working sessions, train internal champions, and build the first use cases alongside the people who will own them. Help clients develop the confidence and skills to build the next ones themselves., • Improve the product through field experience. Bring clear problem statements, reproducible issues, and reusable solutions back to engineering and product. Help turn successful deployments into patterns that work across clients. Responsibilities - What you might work on • Combine warehouse and labor data into a daily performance workflow that highlights exceptions and gives supervisors a consistent basis for action., • Connect ERP and transportation data to reconcile freight spend and investigate discrepancies., • Turn a spreadsheet process into a shared application with validated calculations, permissions, and scheduled updates., • Combine sensor observations with operational records to support safety coaching, investigate damage, or understand lost capacity., • Help an analytics team build its first AiOn applications, then establish the knowledge and ownership needed to expand across departments. Required Skills - What you bring • 2+ years of software engineering or technical deployment experience, including direct work with customers (e.g., onboarding, troubleshooting, or gathering requirements)., • Hands-on experience building and deploying agentic applications, including agents that plan and execute multi-step tasks, with working knowledge of prompt engineering, agent skills, and memory design and tuning., • Strong Python and SQL skills, comfort working with APIs and data pipelines, and the ability to debug across unfamiliar systems., • The ability to turn an open-ended business problem into a practical technical solution, explain the tradeoffs, and ship it., • Strong client communication. You can work through a data issue with an engineer, understand a supervisor’s daily routine, and explain progress to an executive., • Good judgment about data quality, access controls, testing, and reliability. You verify that calculations and AI outputs hold up against source data and actual business practice., • Comfort building with AI tools and reviewing the code and outputs they produce., • Ownership and persistence when requirements are incomplete, systems are messy, or adoption takes more work than expected., • Willingness to travel and work alongside clients at their facilities. Preferred Skills - Helpful experience • Logistics, warehousing, manufacturing, agriculture, transportation, or other physical operations., • Enterprise implementations involving ERP, WMS, LMS, TMS, or business intelligence systems (PowerBI, Tableau, Looker, etc.), • Building LLM applications, tool integrations, evaluations, or automated workflows., • Frontend, backend, basic cloud infrastructure, or similar full-stack application development., • IoT, computer vision, or operational telemetry., • Training users and leading changes to established ways of working. Pay range and compensation package $100,000-$150,000 PTO, healthcare, performance-based compensation, and other benefits Frequent travel to clients across North America Responsibilities - What success looks like Clients use what you build in their daily work. They trust the numbers, understand the controls, and can point to improvements such as less manual reporting, faster investigations, fewer unresolved exceptions, or better use of operational capacity. Their internal champions can extend the deployment, and your field experience makes the next client implementation better. You’ll have direct ownership of meaningful client problems and a close connection to the engineers building the platform. The work will take you from a conversation on the warehouse floor to a data model, from a prototype to a production workflow, and from one successful use case to adoption across an organization.

Summary Empowered Buildings is a fast-growing building automation company seeking a motivated, detail-oriented engineer with 2+ years of experience in the building automation industry or a related engineering field, a strong understanding of mechanical and control systems, and a passion for supporting project teams through engineering, documentation, and project execution. About Empowered Buildings Empowered Buildings helps building owners and operators reduce operating costs, improve system reliability, and optimize building performance through the integration of building automation, engineering, IoT connectivity, AI-driven analytics, and intelligent software. We combine a consultative approach with scalable solutions to deliver measurable outcomes across commercial real estate, multifamily, banking, healthcare, education, and quick service restaurant portfolios. Our focus is delivering measurable business outcomes by improving operational efficiency, enabling proactive monitoring and predictive maintenance, mitigating catastrophic risk, and transforming building data into actionable insights through the intelligent integration of engineering, connected technologies, and AI-driven analytics. Role Description The Building Automation Project Engineer is a full-time, on-site role based in New York, NY. Reporting directly to the Senior Building Automation Applications Engineer, the successful candidate will support Project Managers, Field Technicians, and Engineering throughout the project lifecycle. This role is responsible for preparing engineering documentation, developing graphics, assisting with controls programming, coordinating submittals and project deliverables, supporting commissioning activities, and maintaining accurate project documentation to ensure projects are delivered efficiently and consistently. Primary Responsibilities • Prepare controls submittals, shop drawings, points lists, sequences of operation, and engineering documentation., • Develop and modify graphics and operator user interfaces for building automation systems., • Assist with controls programming, controller configuration, and system integrations., • Support commissioning activities, including point verification, alarm testing, trend setup, sequence validation, and project closeout documentation., • Coordinate engineering deliverables with Project Managers, Field Technicians, subcontractors, and customers., • Maintain project documentation, including engineering revisions, RFIs, as-built drawings, and closeout packages., • Provide technical support to Project Managers and Field Technicians throughout project execution., • Track engineering deliverables and open items using project management platforms., • Assist in developing and maintaining engineering templates, graphics libraries, and documentation standards., • Support continuous improvement initiatives to enhance engineering quality, consistency, and efficiency. Required Qualifications • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related engineering discipline (equivalent experience will be considered)., • 2+ years of experience in building automation, HVAC controls, or a related engineering field., • Working knowledge of mechanical and HVAC system operation., • Understanding of building automation systems, controls hardware, and control sequences., • Knowledge of low- and line-voltage controls wiring, networking, and blueprint reading., • Experience preparing engineering documentation, including submittals and as-built drawings., • Basic controls programming and troubleshooting experience., • Experience developing graphics for building management systems is preferred., • Strong attention to detail and the ability to manage multiple projects simultaneously., • Excellent written and verbal communication skills., • Strong organizational and problem-solving abilities. Preferred Qualifications • Experience with Reliable Controls, Distech, Honeywell, Johnson Controls, Schneider Electric, Niagara, or similar building automation platforms., • Experience with BACnet, Modbus, LON, or other building automation communication protocols., • Familiarity with Visio, AutoCAD, Photoshop, or similar engineering and graphics software., • Basic knowledge of Python, JavaScript, HTML, or other programming languages., • Experience using AI tools to improve engineering workflows, documentation, and productivity., • Exposure to project management software and engineering document management systems. Compensation & Benefits We offer a competitive salary of $80,000–$120,000 per year, plus a comprehensive benefits package and the ability to grow with our fast-growing company. • Health, dental, retirement, and vision insurance, • Flexible spending account, • Paid time off, • Professional development assistance Schedule & Location • Standard business hours, Monday to Friday., • Extended and after-hours work are required as needed to meet project demands., • In-person role based in the New York, NY. Equal Employment Opportunity Empowered Buildings provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

The Role We are looking for a full-stack software engineer to build software to efficiently manage microgrids and other distributed energy resources. This is a great role for someone looking to build software that will change the future of the energy industry. You will report to our Director of Software Engineering and will work a hybrid schedule in our New York City office (Union Square area). Key responsibilities will include: • Front-end development: build web applications with modern, interactive UIs for operators and customers, • Architect and maintain high-performance backend services and APIs (FastAPI, PostgreSQL) to support real-time microgrid operations, telemetry data pipelines, and optimization workflows at scale, • Develop and enhance financial modeling features, building reliable calculation engines and data integrations that support portfolio-level analysis and investment decision-making, • Design and validate mathematical optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for generator dispatch and fleet-level maintenance scheduling, including heuristic approaches, OPH projection, and constraint-based planning, • Build and extend simulation infrastructure (rolling dispatch, Monte Carlo scenario analysis) to validate optimization outputs, refine algorithmic approaches, and auto-tune model parameters against operational requirements, • IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B), • System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals, • Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments, • Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation, • Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainability The Ideal Candidate • Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred, • 5+ years of experience with Python and JavaScript/TypeScript development, • Energy experience and modeling, optimization, • Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling, including Bayesian model fitting, DSP, and control systems, • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK), • FastAPI and microservices experience, • React for front-end development, • PostgreSQL and relational database design, • Experience with high-volume, time-series data processing, • Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core), • Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices, • Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850, • Excellent communication and collaboration skills to work across teams with evolving requirements This is a great opportunity to have a long-term impact on a fast-paced, private equity-backed growth business. Some of the core virtues embraced by Scales’ employees include: • Do the Right Thing, • Act Like An Owner, • Hustle, • Demand Results, • Go Together, • Evolve or Disappear We offer a competitive compensation package and a comprehensive benefits program, including medical benefits, paid vacation and holidays, and 401K matching. About Scale Microgrids Scale is redefining resilience, with advanced microgrids that go beyond traditional backup power solutions to give businesses the power to adapt and thrive amid all of today’s growing energy challenges. As a vertically integrated provider of turnkey advanced microgrid systems, Scale combines project design, engineering, and execution expertise with microgrid-as-a-service financing to offer our customers systems that are optimized to deliver maximum value from day one while ensuring ultra-reliable operations and fast time-to-power. Scale is backed by EQT, a firm with ~$250B in assets, bringing a depth of experience, resources, and capital that will enable Scale to continue pursuing our vision of powering the world with distributed energy. The investment enables Scale to own and operate billions of dollars in distributed generation assets. To learn more about Scale Microgrids, please visit _. About EQT EQT is a purpose-driven global investment organization with EUR 246 billion in total assets under management (EUR 134 billion in fee-generating assets under management), divided into two business segments: Private Capital and Real Assets. EQT owns portfolio companies and assets in Europe, Asia Pacific, and the Americas and supports them in achieving sustainable growth, operational excellence, and market leadership. To learn more about EQT, please visit _. Scale strives to attract and retain a workforce that reflects the composition of our customer base and communities. We are committed to providing a work environment that provides everyone with equal access and opportunity to contribute and drive meaningful outcomes. We encourage applicants from all backgrounds to apply and will consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

About Koop.ai Koop.ai secures and insures mission-critical operations across AI, robotics, defense, and other frontier industries. Koop brings contractual requirements, regulatory compliance, cybersecurity, incident response, and liability insurance together into one integrated platform so teams can meet customer requirements faster. About the Role You will be a software engineer working across the stack and on the Koop product portfolio, building in golang, node, TS, python, and with AWS services. You will build the APIs and user-facing experiences powering the next generation of insurance underwriting, claims, and compliance software for our customers, and you will build LLM powered features for insurance, compliance, and LLM safety. Responsibilities • Work across the stack, from golang APIs and data models through the customer-facing UI, • Develop and ship go APIs for underwriting and claims workflows, • Build LLM powered features for insurance, compliance, and safety, • Own services development end to end from design through deployment About You You are motivated to work in a fast paced, less structured environment with room for growth. You enjoy taking ownership and responsibility, and having the freedom to execute and build the way you think is best. Want a hybrid work environment, with in office collaboration, and remote flexibility. Qualifications and Requirements • Degree (B.S. or M.S.) in Computer Science or a related field, • Experience developing in golang and building user-facing web applications, • Must be comfortable using git, CLIs, unix based systems, and docker, • Experience with distributed systems, AWS, or building on LLM APIs are strong pluses Compensation and Benefits • $140,000 to $180,000 per year, plus equity, depending on experience and qualifications., • Medical, dental, vision, and life insurance covered, • MacBook Pro and any other equipment you need, • No relocation is available for this position

Mid-Senior Level Structural Engineer (4+ Years Experience) Locations: New York City, NY | Philadelphia, PA | Boston, MA | Virginia About MRCE MRCE is seeking experienced and motivated Structural Engineers to join our growing team in New York City, Philadelphia, Boston, and Virginia. This role offers the opportunity to work on complex and challenging geo-structural and foundation engineering projects while collaborating with industry-leading engineers and technical experts. As a Mid-Senior Level Structural Engineer, you will play a key role in the analysis, design, inspection, and construction support of foundation systems, support of excavation structures, waterfront facilities, and other structural engineering projects. You will be expected to apply sound engineering judgment, manage project tasks independently, mentor junior staff, and contribute directly to project success from concept through construction. At MRCE, we are committed to professional growth, technical excellence, and innovation. Our engineers gain exposure to advanced design methodologies, cutting-edge technologies, and practical construction applications, providing a strong foundation for continued career advancement. Job Responsibilities • Conduct site investigations, field assessments, and engineering evaluations for new and ongoing projects., • Perform pre-construction and post-construction condition surveys of buildings, structures, and adjacent properties., • Analyze and design:, • Temporary support of excavation systems, • Retaining structures, • Underpinning systems, • Deep foundations (driven piles, drilled shafts, micropiles, caissons), • Waterfront and marine structures, • Develop structural calculations and engineering analyses for lateral earth support systems and foundation elements., • Prepare engineering reports, design calculations, specifications, and construction documents., • Coordinate with clients, contractors, architects, and regulatory agencies throughout project development and construction., • Perform field inspections for foundation construction, support of excavation systems, underpinning operations, pile installations, and load testing programs., • Review contractor submittals, shop drawings, and field modifications., • Prepare inspection reports and documentation required for regulatory approvals and code compliance., • Monitor project schedules, budgets, and deliverables., • Mentor and provide technical guidance to entry-level engineers and field staff., • Support business development initiatives and client relationship management efforts., • Perform other duties as assigned. Travel Requirements • Local travel to project sites using public transportation or personal/company vehicle., • Occasional regional travel by air or train, including overnight stays as required by project assignments. Typical Physical Demands and Work Environment The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. • Navigate job site/field environment as well as an office environment., • Remain either stationary for extended periods (for instance, in a chair or vehicle), or move often (for instance, walking through a job site), depending on project needs., • Lift and carry equipment (up to 50 lbs)., • Position self in a stooping, kneeling, or crouching manner and climb ladders and stairs for reading instruments., • Navigate uneven ground and footing conditions (for example, soil/gravel/ mud footing, riprap and slopes, rugged terrain)., • Work in varying weather conditions (for example, cold, hot, rain, snow)., • Wear gloves, use hands, handle or feel objects, tools, machinery and computers., • Communicate with others; exchange information accurately., • Operate a computer., • Operate specialized equipment and instruments., • Work in varying noise levels in the construction work environment. Qualifications Education: Bachelor’s or Master’s degree in Civil, or Structural Engineering from an ABET/EAC accredited program; • 4+ years of experience in a similar role;, • Numerical analysis and modeling is a plus, • Auto CAD, MicroStation, Revit experience is a plus, • Knowledge of L-Pile, Sap 2000, Risa, and other specialty software is a plus, • Engineer in Training or registered for FE examination;, • Readiness to spend time in the field for short or long-term projects;, • Excellent written and verbal communication skills;, • Capable of working independently and collaborating with team;, • Capable of professionally representing themselves and the company on sites and with clients. MRCE supports professional development, encourages extracurricular technical activities, and Professional Engineering registration. The firm offers competitive salaries, overtime pay, 10 paid holidays and vacation leave, maternal/paternal leave, medical benefits including dental and vision, life insurance, referral program, Transit Check, a 401(k) contribution, and additional benefits to full time employees. MRCE is committed to providing equal employment opportunities for all qualified persons. MRCE is an equal opportunity employer and considers all applicants without regard to race, color, religion, national origin, ancestry, citizenship, gender, pregnancy, age, physical or mental disability, genetic information, service in the uniformed services, or any other basis protected by federal, state or local law. Base Salary Range: $90,000 - $120,000. Actual compensation may vary based on related work experience, market conditions, education/training, certifications and credentials. This position is eligible for straight-time overtime and participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm.

Position: Sr Machine Learning Engineer Location: California and New Jersey Duration: 6 months (right to hire) Interview Process: 2-3 interview rounds (intro, coding, architecture) Summary: As a Sr Machine Learning Engineer, you will be independently engineering Agentic AI Systems, and partner with Data Scientists, Data Engineers, Data Analysts, DevSecOps and other professionals helping to implement traditional models and agentic AI systems to deliver stability, producibility, scalability and integration with other products and services. You will also participate in architectural capabilities that combine large language models with semantic knowledge layers, knowledge graphs, ontologies, and deterministic reasoning to support accurate, explainable and governable business decisions. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insights, an inclusive leadership attitude and a continuous learning focus on all that you do. Here is what you can expect in a typical day: • Architect, Design and Development and Deployment of ML models and Agentic AI systems that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments, • Design and implement semantic knowledge layers that represent domain entities, relationships, taxonomies, ontologies and business rules for use by LLM and agentic applications., • Build knowledge graph, Graph RAG capabilities that combine vector retrieval with entity resolution, graph traversal, multi-hop reasoning, and relationship aware context retrieval., • Solve complex problems by writing and testing application code, developing and validating ML models and Agentic AI, and automating tests and deployment using LLM tools like Claude Code., • Leverage cloud-based architectures and technologies to deliver optimized ML models, semantic reasoning and Agentic systems at scale., • Construct optimized data, ingestion, knowledge graph, semantic layer and memory pipelines to feed ML models and Agentic systems, • Define approaches for ontology lifecycle management, schema evolution, temporal knowledge, data lineage, graph freshness, and synchronization with source systems.?, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code, • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day, • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables., • Use programming languages including but not limited to Python, C++, SQL, Cypher, Gremlin or other graph query languages. The Skills and expertise you bring: • Bachelor of Computer Science or Engineering or experience in related fields, • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies and Specification-Driven Development (SDD), • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: • Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RESTful APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts, • Machine Learning and Deep Learning: Good understanding of ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics., • Agentic and Generative AI: Architecture, development, evaluation, and deployment of LLM and multi-agent systems - including orchestration, tool use, context engineering, memory, session state, guardrails, human-in-the-loop controls, and agent observability.?Experience combining LLMs with knowledge graphs, ontologies, semantic retrieval, and deterministic?rules?or constraint engines to reduce unsupported reasoning and improve consistency., • Knowledge Graphs & Ontologies: Experience building semantic layers using knowledge graphs, ontologies, and entity relationship models; integrating them with LLMs and Agentic AI to enable multi-hop reasoning, explainability, deterministic business rules, and governance., • Model Performance and Governance: model monitoring, model validation, bias detection, explainability, performance, drift, outliers and agent observability, etc., • Model Deployment: Thorough Understanding of ADLC (Agent Development Life Cycle), CI/CD/CT pipelines (using tools like GitActions, Jenkins, CloudBees etc.), A/B testing. Pipeline frameworks like MLFlow, SageMaker pipeline, etc. model and data versioning., • Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL, and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark, • Knowledge of how databases are structured and function efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. SQL (relational), Unstructured (NoSQL), Graph/ontology (Graph DB), and semantic data models., • Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc., • Programming Languages: Python, C++, SQL, Cypher, Gremlin or other graph query languages

Job Description Are you passionate about providing exceptional customer experiences in a luxury setting? Firmdale Hotels invites you to become a key player in our highly successful team at Crosby Street Hotel, where elegance meets outstanding service. Firmdale Hotels is a collection of award-winning, luxury boutique hotels and restaurants, renowned for their unique design and exceptional service. Each property offers a distinctively stylish experience, reflecting our commitment to excellence and innovation in hospitality. Title: Line Engineer (Maintenance) Location: Crosby Street Hotel Position Type: FT, Non-Exempt Reports To: Chief Engineer JOB DESCRIPTION Crosby Street Hotel, part of the award-winning Firmdale Hotels group, is seeking a skilled and reliable Maintenance Engineer to support the day-to-day engineering operations of our luxury hotel. This role is responsible for maintaining the highest standards of safety, comfort, and functionality throughout guest rooms, public areas, restaurant spaces, and back-of-house facilities. The Maintenance Engineer will perform routine maintenance, preventative maintenance, and repairs across multiple trades, including HVAC, electrical, plumbing, carpentry, and kitchen equipment, while delivering prompt and professional service. Key Responsibilities • Support the Chief Engineer with the overall maintenance and engineering operations of the hotel, restaurant, and surrounding grounds, • Perform general maintenance and repairs in guest rooms, suites, meeting spaces, restaurant areas, and common areas, • Conduct routine inspections and walk-throughs, updating logs and promptly reporting issues requiring immediate attention, • Execute daily, weekly, and monthly preventative maintenance programs and checklists, • Monitor, maintain, and service engineering systems and equipment, including:, • HVAC systems (boilers, chillers, air handling units, water pumps, exhaust fans), • Replacement of filters, belts, bearings, fans, insulation, and drain pans, • Troubleshoot and repair door locks, lighting systems, televisions, phones, and related guestroom equipment, • Perform basic repairs related to plumbing, electrical systems, carpentry, and kitchen equipment, • Maintain a clean, safe, and organized work environment at all times, • Follow all safety protocols and hotel standards What We’re Looking For • 2–5 years of maintenance or engineering experience, preferably within a hotel or hospitality environment, • Working knowledge of HVAC/R, electrical, plumbing, and general building maintenance systems, • Computer literate, with experience using Building Management Systems (BMS) preferred, • Familiarity with HOTSOS or similar maintenance management systems preferred, • Excellent verbal and written English communication skills, • Ability to remain calm, organized, and professional under pressure, • Strong time-management skills with the ability to prioritize multiple tasks, • Physically capable of lifting, carrying, and handling equipment safely, • Relevant trade certifications and/or specialized training preferred, including:, • Fire Safety Director, • FDNY Certificates of Fitness (Sprinkler & Standpipe, Back-Up Generator, etc.) What We Offer: • Competitive salary, • Generous paid time off for full and part time team members, including NY sick and safe leave, paid vacation days, and personal days, • Comprehensive medical, dental, and vision benefits, life insurance, and New York Secure Choice support for most team members, • Complimentary meals on shift, • Free uniform dry cleaning service, • Commuter transit benefits available Day 1, • Ongoing training and professional development, including annual education reimbursement program up to $3,000, • Social events throughout the year, including holiday parties, team member appreciation events, and more, • Exclusive discounts at Design Hotels, staff sales, spa discounts, and product perks, • Departmental and company-wide incentive programs, • And much more!! Why join Firmdale Hotels? Firmdale Hotels is an international, award winning group of 11 luxury hotels and 10 bars and restaurants in London and New York. World renowned for their unique interiors and exceptional service, the hotels are trailblazers in hospitality and design. We are delighted to have been recognized by the hospitality and travel industries for the great work our teams have achieved. To name a few of our recent awards and accolades: Crosby Street Hotel • Three Michelin Keys, 2024, 2025, • Condé Nast Traveler 'Triple Crown', 2026, • Readers' Choice Awards, Condé Nast Traveller, 2024, 2025, • Top-Rated Tablet Hotels of All Time, 2025, • The Best Boutique Hotels in New York City, Travel + Leisure, 2024, • Certified LEED® GOLD by the U.S. Green Building Council and verified by the Green Building Certification Institute (GBCI) Warren Street Hotel • Two Michelin Keys, 2025, • The Hot List, Conde Nast Traveller, 2024, • The IT List, Travel + Leisure, 2024, • World's Greatest Places, TIME Magazine 2024, • The Best Boutique Hotels in New York City, Travel + Leisure, 2024, • Readers' Choice Awards, Condé Nast Traveller, 2025 The Whitby Hotel • Three Michelin Keys, 2024, 2025, • Top-Rated Tablet Hotels of All Time, 2025, • Condé Nast Traveler 'Triple Crown', 2026, • Best Spots for Afternoon Tea in the US, Tasting Table, 2024, 2025, • Best Afternoon Teas in New York City, Vogue, 2024, 2025, • Readers' Choice Awards, Condé Nast Traveller, 2024, 2025 You can see a full list of our awards and accolades here: https://www.firmdalehotels.com/b/awards-accolades/ Join us at Crosby Street Hotel and be part of a team that values excellence, creativity, and a genuine passion for hospitality. Apply now to start your journey with Firmdale Hotels! Firmdale Hotels welcomes applicants from all backgrounds and is committed to an inclusive workplace. Please let us know if you need adjustments during the recruitment process.

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. ion. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer role (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Title: Tier 2 Systems Engineer About the Role The Tier 2 Managed Services Engineer is responsible for handling escalated technical issues, advanced troubleshooting, and day-to-day support for our managed services customers. You will work closely with Tier 1 technicians, senior engineers, and account teams to ensure our clients’ systems are stable, secure, and optimized. This role is ideal for someone who is highly technical, customer-focused, and comfortable working across multiple environments and technologies in a fast-paced MSP setting. Key Responsibilities Customer Support & Incident Management • Provide Tier 2 support via phone, ticketing system, email, and remote tools., • Troubleshoot and resolve escalated incidents related to workstations, servers, networks, and cloud services., • Own tickets through to resolution, ensuring timely communication and proper documentation., • Collaborate with Tier 1 and Tier 3 resources to resolve complex issues and improve knowledge transfer. Systems & Network Administration • Support and maintain Microsoft Windows Server and desktop environments (AD, DNS, DHCP, GPO, file/print services)., • Administer Microsoft 365/Exchange Online, Teams, OneDrive, and related services., • Perform user and group administration across various systems., • Assist with management of switches, firewalls, wireless, VPN, and other network devices. Monitoring, Maintenance & Projects • Monitor client environments using RMM and monitoring tools; respond to alerts and remediate issues., • Perform routine maintenance (patching, updates, backups, AV/EDR checks, capacity management)., • Participate in implementation and upgrade projects (migrations, standardization, new deployments)., • Contribute to standard operating procedures (SOPs), documentation, and knowledge base articles. Security & Compliance • Support security tools such as endpoint protection, MFA, email security, and backup/recovery solutions., • Assist in responding to security-related alerts and incidents following established playbooks., • Follow best practices and policies for system hardening, access control, and data protection. Collaboration & Continuous Improvement • Mentor Tier 1 technicians and help elevate overall team capability., • Provide feedback to improve tools, processes, and service delivery., • Maintain strong customer relationships with a focus on responsiveness, quality, and professionalism. Requirements Required Qualifications • 3+ years of experience in a technical support, systems administration, or MSP/help desk role (Tier 2 equivalent)., • Strong experience with:, • Windows desktop (Windows 10/11) and Windows Server OS (2012/2016/2019+)., • Active Directory, DNS, DHCP, Group Policy., • Microsoft 365 administration (Exchange Online, Teams, basic security/compliance settings)., • Remote support tools and RMM/monitoring platforms., • Solid understanding of TCP/IP networking, VLANs, VPN, and basic firewall concepts., • Experience troubleshooting common business applications, printers, and peripherals., • Excellent customer service, communication, and documentation skills., • Ability to prioritize and manage multiple tickets and tasks in a high-volume environment., • Must be authorized to work in the United States. Preferred Qualifications • Experience working for a Managed Services Provider (MSP) or in a multi-client support environment., • Microsoft Azure, Intune/Endpoint Manager, or other cloud platforms., • Common firewall vendors (e.g., Watchguard, Fortinet, Palo Alto, etc.)., • Backup/DR solutions and virtualization (Veeam, Commvault, Datto, VMware, Hyper-V)., • Security tools (EDR, email security gateways, web filters)., • Relevant certifications such as:, • CompTIA Network+, Security+, Server+, • Microsoft certifications (MCP, MCSA, AZ-900, MS-900, MD-102, etc.), • Other vendor certifications (Cisco, Fortinet, VMware, Watchguard, etc.) Personal Attributes • Strong analytical and problem-solving skills with a structured approach., • Customer-focused mindset with the ability to explain technical issues in business-friendly terms., • Self-motivated and able to work independently in a remote environment., • Team player who collaborates effectively across functions and levels., • Willingness to learn new technologies and continuously improve. Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). Opportunities At Magna5, we’ve put thought into what it takes to build a strong and competent team. A team that collaborates and encourages their peers at a company that promotes individual growth, not one that silo’s them. Magna5 has developed a training program that will allow any member of our team to enhance their education that will enable them to grow their knowledge and mature their skillsets. We provide people with a career path into new technology and senior positions that most companies do not offer. Hours & Schedule The Magna5 Support Center operates 24/7. The shift for this position will be M-F 8:00 AM to 5:00 PM. Work Perks • Paid time off including paid holidays and floating holidays., • 100% remote work with no plans of returning to the office, • Bonus potential based on individual and company performance, • Highly competitive and flexible medical, dental, and vision benefits plans, • 401(k) with employer match, • Tailored Life and Disability insurance plans, • Full reimbursement for approved professional certification and career enriching opportunities Magna5 Values • Win Together – We collaborate with clients and across the Magna5 team to provide complete solutions for every IT challenge., • Respond Fast – When clients or teammates reach out, we answer with urgency, assembling the needed expertise to provide quick and accurate resolutions., • Earn Trust – We strive to earn and keep the trust of our clients and teammates through our actions every day, fulfilling every promise we make., • Stay Transparent – No secrets and no surprises. We respect our clients and one another by providing candid assessments and complete, accessible information., • Think Ahead – “Good enough” isn’t good enough. We strive to be the best. Our team members are proactive with our problem solving and work to stay on the leading edge of new technologies that drive client success. What We Do Magna5 is a rapidly growing IT Managed Service Provider delivering cybersecurity, private and public cloud hosting, backup and disaster recovery and other advanced services from mid-market to enterprise customers nationwide, including leaders within the education, healthcare, government, financial services, manufacturing, and other industry segments. We integrate advancements in technology and processes to drive businesses forward. As a trusted managed services provider, we bring together the right mix of managed IT services, security, and network connectivity, fully managed by our team of experts 24/7/365. Our passion is to help companies function better, faster, and smarter. We offer an exciting and collaborative environment, with growth potential. For more information, visit our website at _.

Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. The FSE is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Position Duties • Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications., • Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams., • Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves., • Training Travel: Attend 6–9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed., • Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel., • On-Call Support: Participate in weekend/holiday on-call rotation (~every 5 weeks), requiring local phone availability and potential national travel for instrument support., • Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements., • Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties., • Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle., • Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy., • Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience., • Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities., • Perform all work in compliance with company quality procedures and standards., • Perform other duties as assigned. Qualifications Required Education, Training and Experience • Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline., • 2+ years of professional related experience in troubleshooting and/or repair of complex electro-mechanical, electronic, computer, electrical systems in commercial, industrial, or military setting required., • Education Substitution: In lieu of a Bachelor's degree, 6+ years of relevant experience, defined above, is required., • Must have and maintain a valid driver’s license in state of residence. Preferred Education, Training and Experience • Experience in troubleshooting and/or repair of biomedical, vacuum systems, host/remote communications and network systems, or similar systems and in a clinical laboratory setting preferred., • Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred., • Experience in a field service role preferred., • Experience in the principles and practices of laboratory operations preferred. Knowledge, Skills, and Abilities • Consistently upholds and reflects the core ethical principles and values that bioMérieux promotes., • Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy., • Detail orientation to complete tasks without errors and produce high-quality work., • Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity., • Organizing work and resources efficiently to ensure smooth operations, • Troubleshooting issues to identify and resolve problems efficiently, • Demonstrates assertiveness and confidence in the face of a challenge, • Effective verbal, written and presentation skills., • Ability to work cross-functionally allowing for better collaboration and communication when working across teams to achieve shared objectives, • Intermediate skill in MS Office tools to include but not limited to Outlook, Teams, Word, and Excel Working Conditions and Travel • Physical requirements include: remaining in a stationary position for long periods, stair/ladder climbing, wearing PPE, operating heavy machinery, and lifting/moving up to 50 lbs., • Travel requirement: Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual On-call with the expectation of overnight travel when qualified on products., • Domestic travel: required up to 90% of the time, • Typical Regional travel (non-overnight): 50% Monday through Friday, • Weekend/Holiday rotational travel: up to 15% of the time The estimated wage range for this field based role in Missouri is between $32.90 and $45.00 per hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux’s bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate’s experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: • A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options, • Company-Provided Life and Accidental Death Insurance, • Short and Long-Term Disability Insurance, • Retirement Plan including a generous non-discretionary employer contribution and employer match., • Adoption Assistance, • Wellness Programs, • Employee Assistance Program, • Commuter Benefits, • Various voluntary benefit offerings, • Discount programs, • Parental leaves #LI-DS1 Please be aware that recruitment related scams are on the rise. Fraudulent job postings are being placed on other websites, and individuals posing as bioMérieux Talent Acquisition team members are reaching out via email or text message in an attempt to collect your personal and confidential information. In some cases, these scammers are also conducting bogus interviews prior to extending fraudulent offers of employment. Beware of individuals reaching out using general phone numbers and non-bioMerieux email domains (i.e. Hotmail.com, Gmail.com, Yahoo.com, etc.). If you are concerned that an interview experience or offer of employment might be a scam, please make sure you are searching for the posting on our careers site or contact us at BioMérieux Inc. and its affiliates are Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Please be advised that the receipt of satisfactory responses to reference requests and the provision of satisfactory proof of an applicant’s identity and legal authorization to work in the United States are required of all new hires. Any misrepresentation, falsification, or material omission may result in the failure to receive an offer, the retraction of an offer, or if already hired, dismissal. If you are a qualified individual with a disability, you may request a reasonable accommodation in BioMérieux’s or its affiliates’ application process by contacting us via telephone at (385) 770-1132, by email at _, or by dialing 711 for access to Telecommunications Relay Services (TRS).

“They made it easier for me to live, breathe, eat, and stay clean. Without them, I’d be waiting somewhere, waiting for someone to give me a chance to live...” - Client from Telecare  What You Will Do to Change Lives  The Senior Systems Engineer – Hybrid Cloud leads the design, development and operation of Telecare’s hybrid cloud infrastructure with a focus on cost-effectiveness, availability, performance, security and scalability. They provide support for On-premise private cloud, public cloud IaaS, PaaS, SaaS, database engineering, storage, and site reliability engineering, as well as makes recommendations to leverage public cloud efficiency while maintaining secure data on-premises. Shifts Available:  Full-Time | AM | Shifts: 8:00 AM - 5:30 PM | Days: Monday - Friday Expected starting wage range is $116,481.18 - $150,000.00. Telecare applies geographic differentials to its pay ranges.  The pay range assigned to this role will be based on the geographic location from which the role is performed.  Starting pay is commensurate with relevant experience above the minimum requirements. What You Bring to the Table (Must Have)  • Bachelor’s degree in computer science, engineering, information technology, related field, or equivalent work experience., • Four or more years of experience and deep working knowledge of Microsoft Azure that includes functional practical knowledge in automating Microsoft Azure reliability solutions such as HA/DR configuration, multi-AZ and multi-region deployment, auto scaling, etc., • Experience in integrating Azure cloud with third party software, other SaaS services or on-premise applications., • Minimum of 7 years of proven knowledge working with server and storage hardware, software, including Citrix, VMware, Dell Server and Storage Systems, Windows, Linux, etc., • Extensive experience with Active Directory and group policy., • Experience with relational database and related technologies (e.g. MS SQL Server, MySQL), • Experience with VMware vSphere virtualization technologies using vCenter preferred., • Experience with networking and security concepts within a hybrid cloud infrastructure environment., • Exposure to PowerShell and/or bash scripting preferred., • Ability to work within a team and provide leadership in the design, deployment, and support of infrastructure systems., • Must demonstrate good understanding of ITIL, including service management, capacity management, change management and documentation., • Azure Cloud Certification preferred, • Must be at least 18 years of age., • All opportunities at Telecare are contingent upon successful completion and receipt of acceptable results of the applicable post-offer physical examination, 2-step PPD test for tuberculosis, acceptable criminal background clearances, excluded party sanctions, and degree or license verification. If the position requires driving, a valid driver’s license, a motor vehicle clearance, and proof of auto insurance is required at time of employment and must be maintained throughout employment. Additional regulatory, contractual, or local requirements may apply. What’s In It For You*  • Paid Time Off: Eligible employees (20+ hours/week) earn PTO each pay period for vacation and personal needs, with pro-rated accrual for part-time schedules and annual carryover up to set caps., • Nine Paid Holidays, • Free CEUs, free Supervision for BBS Associate License, coaching, and mentorship  , • Online University Tuition Discount and Company Scholarships  , • Medical, Vision, Dental Insurance, 401K, Employee Stock Ownership Plan , • For more information visit:  _  Join Our Compassionate Team  Telecare's mission is to deliver excellent and effective behavioral health services that engage individuals in recovering their health, hopes, and dreams. Telecare continues to advance cultural diversity, humility, equity, and inclusion at all levels of our organization by hiring mental health peers, BIPOC, LGBTQIA+, veterans, and all belief systems.  EOE AA M/F/V/Disability  *May vary by location and position type  Full Job Description will be provided if selected for an interview.  If job posting references any sign-on bonus internal applicants and applicants employed with Telecare in the previous 12 months would not be eligible.

Position: Forward Deployed Engineer Location: New York, New York Duration: Contract - Long Term Job ID: 178996 Job Overview: \n This is a highly embedded, client-facing engineering role. The individual will serve as a Forward Deployed Engineer, working directly with Fixed Income business users, technology teams, quants, operations, and control functions. The role involves identifying high-value AI use cases, translating business workflows into technical designs, and building production-grade AI solutions. This is not an advisory role; the successful candidate will be expected to work closely with the business, understand front-office and operational workflows, write code, test solutions, debug issues, and help move AI use cases from concept to controlled production adoption. The ideal candidate will combine strong software engineering skills, practical generative AI experience, and a consultative approach to working with senior business stakeholders in a regulated financial-services environment. Responsibilities: \n\n • Embed with Fixed Income teams in New York to understand business workflows, pain points, data availability, and AI opportunities.\n, • Partner with traders, sales, research, operations, risk, compliance, and technology stakeholders to translate business requirements into AI-enabled solutions.\n, • Design, prototype, and build generative AI applications using Python, OpenAI or Claude Agent SDK, and other agentic frameworks.\n, • Develop AI solutions for Fixed Income use cases such as knowledge retrieval, workflow automation, document analysis, trade support, client intelligence, operational exception handling, and management reporting.\n, • Build retrieval pipelines across structured and unstructured data, including research, policies, procedures, trade-related data, market commentary, client documents, and internal knowledge repositories.\n, • Apply prompt engineering techniques to improve model accuracy, consistency, explainability, and user trust.\n, • Design evaluation frameworks to test AI outputs for accuracy, completeness, hallucination risk, relevance, and compliance alignment.\n, • Ensure solutions meet enterprise standards for security, data privacy, auditability, access control, and model governance.\n, • Communicate technical trade-offs clearly to both engineering teams and business stakeholders.\n, • Support user adoption by gathering feedback, refining workflows, and ensuring AI tools solve real business problems.\n, • Identify reusable patterns, accelerators, and components that can be scaled across other financial-services use cases. \nQualifications:\n\n • Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience.\n, • Strong hands-on experience with Python and modern software engineering practices.\n, • Practical experience building applications using Python, OpenAI or Claude Agent SDK, and other agentic frameworks.\n, • Strong understanding of prompt engineering, including prompt design, prompt testing, grounding, context management, and output validation.\n, • Experience building AI or data-driven applications that use APIs, databases, cloud services, and enterprise data sources.\n, • Ability to work directly with business stakeholders, lead discovery discussions, clarify ambiguous requirements, and convert business problems into technical solutions.\n, • Strong communication skills and the ability to explain AI concepts, risks, and design choices in clear business language.\n, • Experience working in agile, fast-moving environments where prototypes must quickly evolve into production-ready solutions. \nPreferred Qualifications:\n\n • Financial-services experience, ideally within capital markets, Fixed Income, trading, sales, risk, operations, or banking technology.\n, • Familiarity with Fixed Income products such as rates, credit, securitized products, municipals, FX, or derivatives.\n, • Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence.\n, • Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and model performance monitoring.\n, • Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services.\n, • Experience in a forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery role.\n, • Exposure to cloud platforms, secure APIs, authentication/authorization, and enterprise integration patterns.\n\n About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com \n At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: \n\n • Pay any fee to be considered for, submitted to, or selected for any opportunity.\n, • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.\n, • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.\n\n Pay Range: $80.00 - $89.00/hr. on W2 \n The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. \n If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com \n During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations. \n \n sid.miller@ptrglobal.com

Summary \n Empowered Buildings is a fast-growing building automation company seeking a motivated, detail-oriented engineer with 2+ years of experience in the building automation industry or a related engineering field, a strong understanding of mechanical and control systems, and a passion for supporting project teams through engineering, documentation, and project execution. \n \n About Empowered Buildings \n Empowered Buildings helps building owners and operators reduce operating costs, improve system reliability, and optimize building performance through the integration of building automation, engineering, IoT connectivity, AI-driven analytics, and intelligent software. \n We combine a consultative approach with scalable solutions to deliver measurable outcomes across commercial real estate, multifamily, banking, healthcare, education, and quick service restaurant portfolios. \n Our focus is delivering measurable business outcomes by improving operational efficiency, enabling proactive monitoring and predictive maintenance, mitigating catastrophic risk, and transforming building data into actionable insights through the intelligent integration of engineering, connected technologies, and AI-driven analytics. \n \n Role Description \n The Building Automation Project Engineer is a full-time, on-site role based in New York, NY. Reporting directly to the Senior Building Automation Applications Engineer, the successful candidate will support Project Managers, Field Technicians, and Engineering throughout the project lifecycle. This role is responsible for preparing engineering documentation, developing graphics, assisting with controls programming, coordinating submittals and project deliverables, supporting commissioning activities, and maintaining accurate project documentation to ensure projects are delivered efficiently and consistently. \n \n Primary Responsibilities \n\n • Prepare controls submittals, shop drawings, points lists, sequences of operation, and engineering documentation.\n, • Develop and modify graphics and operator user interfaces for building automation systems.\n, • Assist with controls programming, controller configuration, and system integrations.\n, • Support commissioning activities, including point verification, alarm testing, trend setup, sequence validation, and project closeout documentation.\n, • Coordinate engineering deliverables with Project Managers, Field Technicians, subcontractors, and customers.\n, • Maintain project documentation, including engineering revisions, RFIs, as-built drawings, and closeout packages.\n, • Provide technical support to Project Managers and Field Technicians throughout project execution.\n, • Track engineering deliverables and open items using project management platforms.\n, • Assist in developing and maintaining engineering templates, graphics libraries, and documentation standards.\n, • Support continuous improvement initiatives to enhance engineering quality, consistency, and efficiency.\n\n \n Required Qualifications \n\n • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related engineering discipline (equivalent experience will be considered).\n, • 2+ years of experience in building automation, HVAC controls, or a related engineering field.\n, • Working knowledge of mechanical and HVAC system operation.\n, • Understanding of building automation systems, controls hardware, and control sequences.\n, • Knowledge of low- and line-voltage controls wiring, networking, and blueprint reading.\n, • Experience preparing engineering documentation, including submittals and as-built drawings.\n, • Basic controls programming and troubleshooting experience.\n, • Experience developing graphics for building management systems is preferred.\n, • Strong attention to detail and the ability to manage multiple projects simultaneously.\n, • Excellent written and verbal communication skills.\n, • Strong organizational and problem-solving abilities.\n\n Preferred Qualifications \n\n • Experience with Reliable Controls, Distech, Honeywell, Johnson Controls, Schneider Electric, Niagara, or similar building automation platforms.\n, • Experience with BACnet, Modbus, LON, or other building automation communication protocols.\n, • Familiarity with Visio, AutoCAD, Photoshop, or similar engineering and graphics software.\n, • Basic knowledge of Python, JavaScript, HTML, or other programming languages.\n, • Experience using AI tools to improve engineering workflows, documentation, and productivity.\n, • Exposure to project management software and engineering document management systems.\n\n \n Compensation & Benefits \n We offer a competitive salary of $80,000–$120,000 per year, plus a comprehensive benefits package and the ability to grow with our fast-growing company. \n • Health, dental, retirement, and vision insurance \n • Flexible spending account \n • Paid time off \n • Professional development assistance \n \n Schedule & Location \n\n • Standard business hours, Monday to Friday.\n, • Extended and after-hours work are required as needed to meet project demands.\n, • In-person role based in the New York, NY.\n\n \n Equal Employment Opportunity \n Empowered Buildings provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. \n

The Role \n We are looking for a full-stack software engineer to build software to efficiently manage microgrids and other distributed energy resources. This is a great role for someone looking to build software that will change the future of the energy industry. \n \n You will report to our Director of Software Engineering and will work a hybrid schedule in our New York City office (Union Square area). \n \n Key responsibilities will include: \n\n • Front-end development: build web applications with modern, interactive UIs for operators and customers\n, • Architect and maintain high-performance backend services and APIs (FastAPI, PostgreSQL) to support real-time microgrid operations, telemetry data pipelines, and optimization workflows at scale\n, • Develop and enhance financial modeling features, building reliable calculation engines and data integrations that support portfolio-level analysis and investment decision-making\n, • Design and validate mathematical optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for generator dispatch and fleet-level maintenance scheduling, including heuristic approaches, OPH projection, and constraint-based planning\n, • Build and extend simulation infrastructure (rolling dispatch, Monte Carlo scenario analysis) to validate optimization outputs, refine algorithmic approaches, and auto-tune model parameters against operational requirements\n, • IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B)\n, • System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals\n, • Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments\n, • Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation\n, • Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainability\n\n \n \n The Ideal Candidate \n\n • Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred\n, • 5+ years of experience with Python and JavaScript/TypeScript development\n, • Energy experience and modeling, optimization\n, • Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling, including Bayesian model fitting, DSP, and control systems\n, • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK)\n, • FastAPI and microservices experience\n, • React for front-end development\n, • PostgreSQL and relational database design\n, • Experience with high-volume, time-series data processing\n, • Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core)\n, • Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices\n, • Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850\n, • Excellent communication and collaboration skills to work across teams with evolving requirements\n\n \n This is a great opportunity to have a long-term impact on a fast-paced, private equity-backed growth business. Some of the core virtues embraced by Scales’ employees include: \n\n • Do the Right Thing\n, • Act Like An Owner\n, • Hustle\n, • Demand Results\n, • Go Together\n, • Evolve or Disappear\n\n \n We offer a competitive compensation package and a comprehensive benefits program, including medical benefits, paid vacation and holidays, and 401K matching. \n \n \n About Scale Microgrids \n Scale is redefining resilience, with advanced microgrids that go beyond traditional backup power solutions to give businesses the power to adapt and thrive amid all of today’s growing energy challenges. As a vertically integrated provider of turnkey advanced microgrid systems, Scale combines project design, engineering, and execution expertise with microgrid-as-a-service financing to offer our customers systems that are optimized to deliver maximum value from day one while ensuring ultra-reliable operations and fast time-to-power. \n \n Scale is backed by EQT, a firm with ~$250B in assets, bringing a depth of experience, resources, and capital that will enable Scale to continue pursuing our vision of powering the world with distributed energy. The investment enables Scale to own and operate billions of dollars in distributed generation assets. To learn more about Scale Microgrids, please visit https://www.scalemicrogrids.com. \n \n \n About EQT \n EQT is a purpose-driven global investment organization with EUR 246 billion in total assets under management (EUR 134 billion in fee-generating assets under management), divided into two business segments: Private Capital and Real Assets. EQT owns portfolio companies and assets in Europe, Asia Pacific, and the Americas and supports them in achieving sustainable growth, operational excellence, and market leadership. To learn more about EQT, please visit https://eqtgroup.com/. \n \n Scale strives to attract and retain a workforce that reflects the composition of our customer base and communities. We are committed to providing a work environment that provides everyone with equal access and opportunity to contribute and drive meaningful outcomes. We encourage applicants from all backgrounds to apply and will consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. \n

We are looking for Computer Vision Specialists to support an AI training project involving robotic systems. Experience with computer vision video analysis or video annotation.

Job Description Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We are currently seeking an enthusiastic and skilled Data Operations Engineer with a strong operational focus to join our team. As a Data Operations Engineer, you will play a crucial role in monitoring and optimizing our trading processes, enhancing our development and deployment processes, and contributing to the overall efficiency and success of our operations. If you are passionate about optimizing operational workflows, ensuring system reliability, and driving continuous improvement, we encourage you to apply. Responsibilities: (1) Operational Monitoring and Troubleshooting: • Collaborate with teams to establish robust monitoring and alerting systems that provide real-time insights into the trading process status., • Take a proactive approach to monitoring, promptly identifying and resolving operational issues to minimize downtime and disruptions. (2) Continuous Integration and Deployment: • Develop, enhance, and maintain pipelines dedicated to facilitating data/alpha/strategy generation, testing, and deployment procedures., • Foster close collaboration with research teams to ensure the smooth deployment of scripts, promoting seamless integration of research findings into practical applications. (3) Quality Control and Assurance: • Establish and sustain quality control measures to ensure the consistency and robustness of scripts and applications., • Conduct regular inspections and audits of production lines to identify and rectify any quality-related issues promptly. (4) Continuous Improvement Initiatives: • Identify opportunities for continuous improvement within the production process, driven by data analysis and performance metrics., • Lead or contribute to cross-functional improvement projects aimed at enhancing production efficiency and increasing overall output. (5) Documentation and Reporting: • Maintain accurate records of production processes, performance metrics, and quality control data., • Generate regular reports and provide insights to management on production performance, trends, and improvement initiatives. Requirements • Strong working knowledge of Python and Linux is a must., • Experience working with SQL is an advantage., • Prior development experience in fault-tolerant distributed or data intensive applications is a plus., • Process-driven with strong attention to detail., • Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities., • Background in Computer Science, Engineering or a related field. Benefits • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford, CT and New York City offices. The base salary range is $130,000–$200,000, depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We're Looking For We are looking for a Staff ML Platform Engineer to join our Data & ML Platform organization on the ML Platform team. We own the paved road that takes a model from notebook to production without rebuilding it each time: training and inference across SageMaker and Databricks, self-service LLM-endpoint serving, and the pipelines behind Datavant's clinical-AI products. Data Science owns the models and their quality; we own the pipelines, serving infrastructure, and operational guardrails that let those models run safely against regulated health data. As a Staff ML Platform Engineer, you will be a technical leader across the ML Platform: setting direction for the paved road, owning the hardest architectural problems, and moving the team from bespoke plumbing toward a coherent platform that Data Science teams can self-serve. AI fluency is a baseline expectation. You should already be using Claude Code, Cursor, Copilot, or equivalent tools as a core part of your daily engineering workflow, have opinions about how they make a team faster, and know how to apply them responsibly when PHI and other sensitive data are in scope. What You Will Do • Set technical direction across ML training, serving, and observability, and be the final escalation point for the most elusive infrastructure problems (GPU capacity, Spark tuning, production incidents), • Own and evolve our paved-road framework (the shared CI/CD spine, model-workflow scaffolding, and Databricks Asset Bundles) so Data Science teams can go from a config file to a production workflow without bespoke plumbing, • Lead architecture for LLM-endpoint serving across managed providers (Databricks, AWS, Snowflake) and self-hosted deployments, covering latency, cost, caching, evaluation, and PHI-safe routing, • Own the standards and tooling for MLflow, model registry, training image supply chain, and observability across training and inference, • Partner closely with your Data & ML Platform teammates to present a cohesive ML platform to the Data Science, App Dev, and Operations teams at Datavant, • Serve as a key technical input to vendor and platform selection decisions across model providers, ML tooling, and observability, • Mentor senior engineers on the team, provide technical guidance to platform consumers, and stay hands-on writing high-leverage code and Infrastructure-as-Code alongside your teammates What You Need to Succeed • 10+ years of software engineering experience, with 3+ years designing, evolving, and operating enterprise-scale ML platforms in production, • Strong technical judgment under ambiguity and a track record of setting standards, influencing peers, and raising the bar across teams, • Hands-on production experience with Databricks and/or Amazon SageMaker, MLflow (or an equivalent tracking + registry system), and at least one core ML framework (PyTorch, TensorFlow, or similar), • Fluency in Java (or a JVM equivalent) and Python, with real depth in Apache Spark for large-scale data and distributed compute, • Real depth in AWS: networking, IAM, GPU compute, and the storage and messaging services this role touches, with the judgment to know what to reach for and when, • Fluency with Terraform, containers, Kubernetes, and GitHub-based CI/CD for ML workloads, • Direct experience serving LLMs in production, including cost management, evaluation harnesses, and safe handling of sensitive prompts and outputs, • AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent, with views on how they make a team faster, • Clear written and verbal communication, especially in async, remote settings What Helps You Stand Out • Prior technical leadership on a healthcare or regulated-industry ML platform (HIPAA, HITRUST, SOC 2, or equivalent), • Direct experience with Databricks Asset Bundles, Unity Catalog, and open table formats (Iceberg, Delta), • Production experience with specialized inference pipelines beyond generic model serving (e.g., document understanding, computer vision, or streaming inference), • GPU capacity planning at strategic, tactical, and operational horizons, • Experience with real-time and event-driven inference and streaming platforms (Kafka, Kinesis), • Evaluation and red-teaming experience for clinical or safety-sensitive AI, • Background contributing to open-source ML infrastructure or publishing on production ML systems We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $224,000—$280,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. 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Job DescriptionAbout Us For 20 years, Ladders has connected ambitious professionals with $100K+ opportunities, now serving over 8 million members. We're a profitable, small, collaborative, venture-backed team in NYC that moves fast, ships real products, and applies AI in ways that genuinely help people land better careers. The Role We're looking for a thoughtful Senior Full-Stack Engineer(6+ years experience) who thrives owning problems end-to-end. You'll design and build AI-powered features that reach millions of job seekers, make pragmatic architectural decisions, and balance speed with long-term quality. This is not a backlog-ticket role, we want someone who takes a concept all the way to production, not just executes what's handed to them. This is a NY based role with regular in-office presence required (hybrid schedule). What You’ll Do Design and build AI-powered products and features that deliver meaningful user impact Build and maintain scalable backend services and user-facing applications Collaborate closely with product and design team, and other engineering teams to deliver high-impact features Make structural technical decisions and clearly articulate trade-offs when solving complex problems • Take ownership of a product area, service, or technical domain and drive it forward, • Continuously improve system performance, reliability, and developer experienceWhat We’re Looking For 6+ years of professional software engineering experience Strong foundation in programming and software design principles Proven experience building well-scoped, performant modern web applications Production experience with React or Next.js and at least one of the following languages: Go, Python, or JavaScript Comfort navigating the full stack and pulling in what's needed to ship Strong ownership mindset and ability to work effectively within cross-functional teams Nice to Have Experience working with AI tools, prompt engineering, or integrating AI into development workflows Search infrastructure experience (Elasticsearch or similar) Familiarity with message brokers (e.g., Kafka, RabbitMQ, AWS SQS) Database optimization experience (e.g., MariaDB or similar relational databases) • Experience with modern frontend tooling (e.g., Vite), • Background in Computer Science or equivalent practical experienceWhat Success Looks Like Consistently delivers product features with high quality and strong attention to detail Uses AI-assisted development fluently, producing clean and maintainable code at higher velocity Builds strong partnerships with engineers, product and design, contributing to team and organizational growth • Proactively surfaces problems and drives them to resolution, • Makes the codebase, the system, and the team around you measurably better over timeWhat We Offer Competitive compensation: base salary $200,000 ~ $220,000 + stock options Home office setup stipend Gym membership reimbursement Commuter benefits program Comprehensive health coverage: medical, dental, and vision 401(k) retirement plan Health Savings Account (HSA), Health Care FSA (HCFSA), and Dependent Care FSA (DCFSA) We know that great candidates don’t always check every box. If you’re excited about this role, we strongly encourage you to apply, even if you don’t meet every listed qualification. The products we’re building have meaningful social impact, and we believe that diverse experiences and viewpoints make that work stronger. We’re committed to building an inclusive team and would love to hear from you. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description CIeNET is seeking a Senior Full Stack Software Developer to design, develop, and enhance a suite of web-based business applications. In this role, you will work closely with customer stakeholders, product owners and cross-functional engineering teams to clarify business requirements, define technical solutions, and build scalable, high-quality enterprise applications that improve operational efficiency and employee experience. The ideal candidate is a hands-on software engineer with strong system thinking, excellent communication skills, and the ability to own features from concept through production while collaborating effectively across business and engineering teams. Location: United States (East Coast & West Coast) Key Responsibilities • Design, develop, and maintain scalable full stack web applications, including frontend, backend services, APIs, databases, and system integrations., • Partner with customer stakeholders and product owners to clarify business requirements and translate them into technical solutions., • Drive technical discussions and collaborate with development, QA, and DevOps teams to resolve implementation, testing, environment, and data-related issues., • Modernize and enhance existing applications while maintaining legacy systems where appropriate., • Troubleshoot production issues, identify root causes, and improve system reliability and performance., • Participate in system design, architecture reviews, and code reviews to ensure scalable and maintainable solutions., • Continuously improve engineering practices, software quality, and development efficiency., • Take ownership of features throughout the software development lifecycle, from design to production support. Requirements • 3–7 years of professional software development experience building enterprise web applications., • Strong proficiency in Java; experience with Kotlin is preferred., • Experience with at least one modern frontend framework (React, Angular, Vue.js, or similar)., • Experience developing RESTful APIs and database-driven applications., • Strong understanding of software architecture, system integration, and the software development lifecycle., • Ability to understand business workflows, communicate with customer stakeholders, and translate requirements into technical solutions., • Strong analytical, debugging, and problem-solving skills across application, database, and integration layers., • Excellent communication, collaboration, and ownership with the ability to deliver independently. Preferred Qualifications • Experience with Spring Boot or similar Java frameworks., • Experience with asynchronous processing, job scheduling, or workflow orchestration., • Experience with CI/CD, Docker, Kubernetes, or cloud-native application development., • Experience working with HR, ERP, CRM, or other enterprise business applications., • Experience working in Agile and globally distributed engineering teams. Education • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field., • Advanced degree or relevant technical certifications are considered a plus. Benefits • Medical, Dental, Vision, and Life Insurance, • 401(k) Matching, • Paid Time Off and Holidays, • Career Growth Opportunities, • Collaborative and Innovative Work Environment

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the Role Tabs is looking for a Senior Software Engineer to join our Platform team, reporting to the engineering leader who owns platform and infrastructure. Your customers are the engineers around you. The work is measured by a single question: can the rest of engineering ship faster because of what you built? Platform at Tabs is deliberately understated. We are the first and last line of defense — the layer that makes deploys boring, failures legible, and the path from commit to production short. What you'll experience is real leverage: every improvement you make compounds across every team. You'll own the foundation every other engineer builds on: build systems, CI/CD, infrastructure, developer tooling, dev containers, and the API infrastructure and standards teams build against. A lot of this work lives outside any product roadmap. It's ours to define, and we set the bar for the rest of engineering. You'll also help shape what's next, like the internal platform-as-a-service we're planning to build. All of it supports a product that runs the contract-to-cash lifecycle for high-growth companies, where reliability is measured in real money. We move on two-week cycles, and the platform keeps up. How We Operate We work hard. Two-week sprints, weekly ship goals, short feedback cycles. Built around intra-month product releases. We work smart. Get in front of the other engineering teams, use both data and customer feedback to drive decisions, while keeping the bigger picture in mind. We work together. In-office culture with people you want to work with. Lots of whiteboard space. Expense coffee, lunch, and dinner when in the office. What You'll Do Own platform and infrastructure work that shortens the path from an engineer's commit to production Build and evolve the build systems, CI/CD, and developer tooling the whole engineering team relies on every day Improve observability and operational tooling so problems surface early and are cheap to diagnose Make hard tradeoffs on behalf of the wider engineering org, and explain the reasoning behind them Partner with product engineering teams to find out what's actually slowing them down, then go fix it Write production-quality code and automation across the stack, not just at the infrastructure layer Who You Are You get genuine satisfaction from solving other engineers' problems You'd rather build the thing nobody notices than the thing everyone sees You dive deep instead of handing off, and you finish what you pick up You make pragmatic calls under constraint and can defend them You have no ego about it — this team operates as a team Experience 5+ years of professional software engineering experience Startup experience is a must — you've owned broad surface area at a company moving through a growth stage, not one narrow specialty on a large, heavily staffed team Strong hands-on experience with cloud infrastructure, CI/CD, and build tooling Fluency in TypeScript, Python, or a similar modern language, with the judgment to write code others will maintain Experience operating production systems and reasoning about failure modes Strong foundation in computer science and coding Perks and Benefits (Full-time Employees) Competitive compensation and equity Unlimited PTO Up to 100% employer covered monthly healthcare premium (medical, dental, vision) Lunch provided via Sharebite, plus dinner for any later in office days. Parental leave up to 12 weeks Tax free commuter and parking benefits Voluntary insurances (Life, Hospital, Critical Illness, Accident) Employee Assistance Program (Rightway) Free One Medical Membership 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $180K - $240K

Job Description Pay Range: $55.00hr - $60.00hr Job Overview: We are seeking a Lead Machine Learning Engineer to architect, develop, deploy, and scale Machine Learning and Agentic AI solutions that address complex business challenges. This role requires close collaboration with Product, Data Science, and Engineering teams to deliver production-grade AI systems. Key Responsibilities: • Design, develop, and deploy ML models and Agentic AI solutions., • Build scalable cloud-based ML applications and data pipelines., • Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks., • Monitor model performance, governance, observability, and reliability., • Lead technical problem-solving and mentor engineering team members., • Develop applications using Python, C++, SQL, and modern AI frameworks. Required Skills: • Strong experience in Traditional Machine Learning and Agentic AI., • Expertise in MLOps, Model Deployment, and Cloud Engineering., • Solid background in Software Engineering and System Design., • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs., • Experience with CI/CD tools such as GitHub Actions, Jenkins, or CloudBees., • Strong understanding of data engineering, distributed systems, and AI lifecycle management. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • Excellent problem-solving, communication, and collaboration skills., • Experience working in Agile development environments. Top Skills: • Traditional Machine Learning & Agentic AI., • MLOps / Model Deployment & Cloud Engineering., • Software Engineering & System Design. Benefits: Our Benefits Include: • Medical, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Health Savings Account (HSA), • Disability Insurance (Short-Term and Long-Term), • Life and AD&D Insurance, • Paid Sick Leave (where required by applicable state or local law), • Supplemental Insurance Plans, • Identity Theft Protection, • Pet Insurance, • Employee Wellness Programs, • Employee Assistance Program (EAP), • Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description At Trunk Tools, we’re the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we’re changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges. After years of building the “brain” of construction, we’re now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 100+ employees (50+ engineers), we’re scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point. About the role Forward Deployed Engineers are how Trunk Tools gets into the field. You'll embed directly with our general contractor customers, stand up Cortex and our agents inside their real projects, and own the work of turning a pilot into a result the customer can measure: submittal reviews cut from 54.8 days to 14, a 20-sheet bulletin reviewed in under 10 minutes instead of roughly 6 hours, RFIs answered before they're ever sent. This is an early-career role built for engineers who want to write real code, sit with real builders on real jobsites, and watch their work land in weeks, not quarters. You'll learn both the construction domain and the craft of deployment under experienced Forward Deployed Engineers, and everything you pick up in the field will flow straight back into the product. What you'll do Deploy Cortex and the agents into live projects. Connect a customer's document set, integrate with the systems they already run (Procore, Autodesk Construction Cloud), and configure the agents around how their teams actually work. Create new custom agents for use on live projects. Leverage the Trunk Tools platform to create new agents for specific customer use cases that can be built, deployed, and used within a project, and used by the customer organization on multiple projects. Own the data-to-outcome loop for your accounts. Get a working, measurable result on the customer's own drawings, specs, and submittals, fast, so the value is undeniable. Sit with the builders. Spend time on jobsites and in trailers with project engineers, assistant project managers, and superintendents to learn their workflow and drive real adoption, not just a login. Write production-quality code. Build the tooling that makes each deployment work, and make it hold up as something the platform can reuse rather than a one-off. Feed the field back into the product. Bring what you learn to Product and Engineering so Cortex and the knowledge graph get sharper with every deployment. Partner with the account team. Work alongside the deal owner from first proof through expanding across the customer's portfolio. What we're looking for 0 to 3 years of software engineering experience with strong computer-science fundamentals. Recent graduates with substantial project or internship experience are encouraged to apply. Working proficiency in Python and/or TypeScript, and comfort with APIs, data, and building integrations between systems. Clear, direct communication and genuine comfort in front of customers. We hire engineer-diplomats: people who can write code in the morning and earn a superintendent's trust in the afternoon. Willingness to travel to jobsites and customer offices, and real comfort working in the field, hard hat included. A bias to action. You ship, you watch what breaks, you fix it, and you pick up a new domain quickly. Low ego and a builder's respect for the people doing the work. Bonus points Exposure to construction, architecture, or engineering, or genuine curiosity about how buildings get built. Familiarity with data, machine learning, or retrieval systems. Prior customer-facing, deployment, or forward-deployed work. Hands-on experience with Procore or Autodesk Construction Cloud. How we work We live by three values, and this role touches all of them: Low Ego - we learn what construction teams need directly from them, on the jobsite. This job is that value made literal. No BS - we don't over-promise AI. Every result you deliver should tie to time saved, cost reduced, or work won, and it should be real. High Output - we ship what we said we'd ship, when we said we'd ship it. What we offer ️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters Competitive salary and stock option equity packages 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! Learning & Growth stipend Flexible long-term work options (remote and hybrid) Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us! Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $128,700 - $209,000