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Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionRole Name: GNC Engineer III Work Location: Dallas–Fort Worth (DFW), Texas (Onsite) Job Summary We are seeking an experienced GNC Engineer III to solve challenging controls and localization problems using state-of-the-art techniques. The ideal candidate will develop simulations to validate control system designs and collaborate with a team of engineers to implement, test, and validate control solutions for unmanned ground vehicles (UGVs). The GNC Engineer III will be responsible for designing, developing, and overseeing various aspects of electrical control systems, equipment, and machinery. The role may also involve the installation and technical support of control systems and products. The successful candidate should possess a strong understanding of guidance, navigation, and control (GNC) concepts, practices, and procedures. This position requires the ability to apply technical expertise and sound judgment to plan and accomplish goals, solve complex engineering problems, and contribute creative solutions. The engineer will work under established guidelines and supervision while demonstrating technical leadership and the ability to perform a variety of complex engineering tasks. Essential Duties and Responsibilities: • Design and develop control and localization algorithms for unmanned ground vehicles., • Model mechanical and electrical systems to simulate and validate proposed control solutions., • Develop and analyze control algorithms to address complex engineering challenges., • Support the implementation, testing, and debugging of control systems and algorithms., • Conduct simulations to verify system performance and the effectiveness of control solutions., • Document engineering designs, analyses, simulation results, and testing outcomes in the company's standard report format., • Develop innovative control solutions to address technical challenges relevant to the company., • Provide technical guidance and assistance to other GNC engineers as needed., • Demonstrate technical leadership in control systems design and development., • Contribute to technical proposals requiring control system solutions., • Publish relevant research findings in conference proceedings and technical journals., • Identify and support patenting opportunities for client-developed control methods and technologies.Education and Experience Requirements, • Master's degree or PhD in Mechanical Engineering, Electrical Engineering, or a related field, with an emphasis on Controls and Localization., • 4–7 years of relevant industry experience in control systems, localization, or related engineering disciplines., • Strong understanding of GNC principles, control system design, modeling, and simulation., • Experience developing and implementing control solutions for complex mechanical or electrical systems.Required Technical Skills Proficiency in: • State-space control systems., • Localization techniques and algorithms., • State-of-the-art control methodologies and advanced controllers.Hands-on experience with:, • Designing and developing control and localization algorithms., • Creating detailed technical documentation, engineering reports, and design analyses., • Programming using Python, C, C++, and/or Robot Operating System (ROS).Physical Requirements, • Ability to remain in a stationary position at a computer workstation for extended periods throughout the workday., • Ability to operate a computer and other office productivity equipment., • Ability to perform job responsibilities effectively using computer monitors., • Ability to communicate and exchange information effectively in person, over the phone, and through electronic communication platforms., • Ability to move throughout an office environment as required. “All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”

Job Description Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Responsibilities Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 2 years of relevant experience; or Master's degree, plus 6 months relevant experience. CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Qualifications ROLE AND POSITION OBJECTIVES: As an Embedded Software Engineer working with custom Hardware built in-house, for our Cyber group, you’ll be a member of a cross functional team responsible for developing mission critical NSA-certified Cybersecurity devices in a rapidly growing product line. You’ll be working at the cutting edge of Cybersecurity and high-speed data. We encourage you to apply if you have any of these preferred skills or experiences: • Real-Time Embedded software, preferably on Linux OS, • Real world experience developing in a systems programming language such as C/C++, with Rust experience preferred, • Extensive experience with software design, code, integration, and test, • Long development lifecycle and product lifespans, requiring maintenance and regular technology refresh, • Concurrent programming Nice to have experience with: • Heterogeneous computing systems, • Security-Enhanced Linux (SELinux), • ARMv8 architecture, • Serial communication protocols, hardware interfaces, and device drivers, • Computer Networking What sets you apart: • Passion for designing complicated systems and working on problems of diverse scope., • Ability to define the scope, schedule, and expectations for the work you execute., • Shows initiative on assignments and executes projects with little guidance and can provide technical direction and leadership., • Ability to turn CONOPS, Specifications or Requirements into software design, code, test plans, and then execute testing/debugging., • Proficiency with software tools supporting Integrated Development Environments (IDE), version control, defect tracking, and scripting., • Identifies opportunities to apply AI for continuous improvement and innovation Our Commitment to You: • An exciting career path with opportunities for continuous learning and development., • Research oriented work, alongside award winning teams developing practical solutions for our nation’s security, • Flexible schedules with every other Friday off work, if desired (9/80 schedule), • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more, • See more at gdmissionsystems.com/careers/why-work-for-us/benefits Workplace Options: This position is Fully On-Site. While on-site, you will be a part of the Florham Park, NJ facility. #CJ3

Job Description Our client, a highly respected A-rated insurance carrier, is seeking a seasoned Senior Software Engineer (.NET / Azure) to join their growing IT department. This is a unique opportunity to play a key role in driving cutting-edge digital transformation initiatives within a leading organization in the Property & Casualty Insurance industry. The ideal candidate will bring deep technical expertise, innovative problem-solving skills, and the ability to collaborate effectively across teams. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York. Key Responsibilities: • Design, develop, and deploy enterprise-level applications using Microsoft development tools and frameworks., • Participate in full lifecycle development efforts, ensuring scalability, performance, and security best practices are followed throughout., • Leverage Microsoft Power Platform tools to streamline and optimize business processes., • Collaborate closely with business stakeholders, IT leadership, and cross-functional teams to align software solutions with organizational goals., • Contribute to architectural decisions, conduct code reviews, and provide technical guidance to peers., • Research and evaluate emerging technologies, recommending strategic solutions that advance the company’s digital initiatives., • Maintain high standards of software quality, reliability, and maintainability through consistent best practices and documentation. Qualifications/Requirements:, • 5- 10+ years of practical, hands-on development experience with C#, .NET, and Azure., • Hands-on experience designing and delivering cloud-based solutions within the Microsoft Azure ecosystem, including services such as App Services, Functions, Azure DevOps, Azure SQL, and other platform or infrastructure offerings., • Current Microsoft Azure certification is a plus., • Strong development background using C# and SQL, with practical experience working in SQL Server environments and management tools., • Advanced, in-depth expertise with Microsoft Power Platform tools, including Power Apps, Power Automate, and Dataverse. Background working with applications in the property and casualty insurance sector highly preferred., • Demonstrated success building scalable back-end services, including the design and implementation of RESTful APIs and layered API architectures (process- and experience-level APIs)., • Bachelor’s degree in Computer Science, Software Engineering, Information Science, or a related technical field from an accredited U.S. institution. Salary/Benefits:, • $170,000 - $190,000+ annual base salary plus 10-20% bonus, • Ability to work remotely, • Extremely competitive Medical, Dental, Vision, and Life plans, • Employer-matching 401(k) plan, • Lucrative PTO plan, • Succession Planning and tremendous Advancement Potential

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 Job Summary The Mechanical Engineer I is responsible for performing research, development, design, and testing of product. Design work is monitored and reviewed by a senior level engineer. Primary Job Responsibilities • Work in a team environment to analyze requirements from the customer and develop design solutions, • Support on-site or remote factory production, • Complete 3D design of parts and assemblies, and create 2D part and assembly drawings using CAD software (SolidWorks/Inventor preferred), • Participates as a drawing checker to ensure items are detailed correctly, • Participates in engineering review meetings, • Communicates with suppliers/vendors as required, • Builds and analyzes prototypes, • Conduct laboratory testing of products to ensure compliance with customer requirements and regulatory standards, • Create Operation & Maintenance Manual and/or Installation Instructions for Products Qualifications • Bachelor’s degree in Mechanical Engineering; 2-5 years’ experience a plus, • Proficiency in using solid modeling CAD software (experience with Inventor a plus), • Proficient with MS office Products, • Ability to work to deadlines in a fast paced production environment, • Excellent oral and written communication skills Who are we Raycap, Inc. creates products that protect and support the world’s most valuable assets. We support advanced solutions for telecommunications, renewable energy, transportation, defense and other applications worldwide. What we offer • Excellent benefit package, • Paid Time Off from day one, • 10 company paid annual holidays, • Tuition Reimbursement program, • Generous 401(k) employer contribution Raycap is an Equal Opportunity / Affirmative Action Employer. All qualified applicants receive consideration for employment without regard to age, disability, race, color, national origin, sex, marital status, sexual orientation, religion, gender identity, creed, veteran or military status, or other protected status. We participate in E-Verify for all employment verifications. Drug-free workplace.

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About the Role Training a frontier model is as much an infrastructure problem as it is a modeling problem. When a run fails at hour 47 of a 72-hour job, the question is almost never "what's wrong with the code" — it's "what happened on the cluster." Node failures, network timeouts, storage bottlenecks, and scheduling decisions determine whether training runs succeed or fail, how much they cost, and how fast teams can iterate. Until now, the developer tools and the infrastructure telemetry have lived in completely separate worlds. The CoreWeave acquisition changes that. W&B can now build products that connect application-level experiment tracking with cluster health, hardware telemetry, and compute orchestration — a surface area that's hard to assemble without owning both the developer tools and the infrastructure. Reporting to the Director of Product Management, this Staff Product Manager will own the strategy and execution for the products at this intersection: W&B Launch (job submission and compute orchestration), infrastructure insights that leverage CoreWeave's unique telemetry and platform capabilities, and new product concepts — including agentic and automated research workflows — that only exist because W&B and CoreWeave are now one company. Sandboxes (managed development environments) are also part of this surface, but the core opportunity is building infrastructure-native developer tools that take advantage of the combined platform. You'll be working directly with frontier model builders — teams training on thousands of GPUs — to understand what they need and ship it. If you're energized by solving infrastructure challenges that directly accelerate deep learning workflows, collaborating with the world's best AI teams, and delivering tools that move the industry frontier forward, his role is for you. What You'll Do • Define and ship infrastructure-native products that only W&B + CoreWeave can build. This is the core of the role. The integration between W&B's experiment tracking and CoreWeave's infrastructure platform opens a new product surface — giving researchers visibility and control that spans their code, their runs, and the machines those runs execute on. You'll identify the highest-value opportunities in this design space, build conviction around them, and drive the roadmap from concept through launch and iteration., • Own W&B Launch and evolve it for the CoreWeave era. Launch is W&B's job submission and compute orchestration product. Today it helps teams submit training jobs to Kubernetes clusters and cloud providers. As part of a vertically integrated AI platform, Launch can go further — with deeper infrastructure awareness and the ability to serve as the orchestration layer for agentic and automated research workflows. You'll set the vision for what that looks like and ship it., • Spend real time with frontier AI teams and learn how they actually work. Foundation model builders are your primary customers. You'll spend significant time in their workflows — understanding how they manage infrastructure, debug failures, orchestrate computation, and increasingly automate their research processes. These conversations will directly shape the product roadmap., • Build the bridge between W&B product and CoreWeave platform engineering. This role sits at the seam between two organizations that are becoming one. You'll partner with CoreWeave's infrastructure and platform teams to identify integration opportunities, and with W&B's engineering teams to build them into products researchers actually want to use. Your ability to translate between infrastructure engineers and ML researchers will be critical., • Find and resolve friction points in the job submission, compute management, and infrastructure observability workflows, maintaining W&B's high bar for craft and quality., • Explore new product concepts at the hardware-software boundary. The design space opened by the CoreWeave integration is large — spanning profiling, environments, automation, agents, and more. You'll evaluate which new concepts have the highest impact for frontier AI teams and drive the most promising ones from zero to one. Who You Are • Experience: You have 7+ years as a product manager working on developer tools, deep learning infrastructure, or ML engineer platforms., • End-to-end ownership: You've taken a technical product—whether a model, orchestration feature, or developer tool—all the way to production, including defining success criteria, measuring effectiveness, and iterating to improve impact and user happiness., • Technical fluency: You're comfortable discussing Kubernetes and SLURM, job scheduling, hyperparameter optimization algorithms, and API design with engineers and AI researchers., • Cross-functional influence: You're skilled at managing and influencing AI engineers, software engineers, and stakeholders—with or without official authority—to align teams and drive outcomes., • Clear communication: A major part of this role is seeking feedback from many directions and channeling it into a single, executable stream. You bring clarity and organization to complex, fast-moving environments., • Care and taste: You have strong opinions about the products you use and a high bar for developer experience. Preferred • Experience with deep learning frameworks (PyTorch, JAX), distributed training, or LLM development workflows., • Hands-on experience with SLURM or Kubernetes for GPU-intensive workloads., • Prior exposure to W&B or other experiment-tracking and model management platforms., • Understanding of hyperparameter optimization methods and evaluation workflows for large models. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams—even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team: • Outgoing and user-focused. You'll love this role if you enjoy connecting with real users day to day, helping them solve issues, and sharing patterns for making the most of our products, • Self-directed and willing to take risks. At our speed and scale, product managers need to proactively find solutions, improve processes, and collaborate with team members and engaged users. Your initiative will really shine here., • Hands-on with AI. You experiment with generative AI to improve your own workflow and build user-facing prototypes. You keep up to date every day with what's new in the AI / LLM world., • Passionate about developer experience. You care deeply about building tools that help AI practitioners accelerate their iteration and discovery. You know small friction points compound, and smoothing them out is what makes a delightful and winning developer tool. Why Us? We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About the Company & Role Our client is a leading global consultancy renowned for delivering high-profile, complex, iconic, large-scale capital projects. We're looking for a dynamic and motivated IT Infrastructure Engineer to join our growing team. In a full-time, permanent role, you will initially be working on the Hudson Tunnel Project. If you're excited to build real world experience in a modern, cloud first environment, this role gives you the foundation to grow fast. You'll serve as a senior technical resource to help maintain, secure, and improve the technology our client relies on every day. This position combines hands-on systems administration, advanced technical support, security operations, and project work across Microsoft 365, endpoint management, networking, and cloud infrastructure. As the IT Infrastructure Engineer, you will take ownership of complex issues, strengthen operational processes, and identify opportunities to improve reliability, security, and the employee experience. You will be resourceful and analytical, combining independent research, practical experience, and sound judgment to resolve unfamiliar problems. The busiest rail connection between New York, New Jersey, and the Northeast Corridor, the Hudson Tunnel Project will improve capacity, reliability, and resiliency of commuter and intercity rail transit serving 800,000 daily passengers from Washington, D.C. to New York and New England. This is a milestone project that is slated to receive nearly $12 billion in federal funding, the largest investment in a mass transit project in US history. This is a great opportunity for someone who enjoys both building technology and helping people use it effectively. Clear communication, thorough documentation, and a service-oriented approach are essential. What You'll Do: Systems Administration and Advanced Support • Administer and maintain the computer systems, cloud services, file services, and supporting infrastructure., • Provide Tier 2 and Tier 3 support for complex hardware, software, identity, connectivity, and application issues., • Investigate recurring incidents, identify root causes, and implement lasting improvements., • Support employee onboarding, role changes, and offboarding through timely device provisioning and access management., • Coordinate with employees, IT colleagues, and vendors to resolve issues and deliver technology projects. Endpoint and Identity Management • Manage Windows 11 endpoints, including deployment, configuration, and provisioning through Microsoft Intune and Windows Autopilot., • Maintain Dell hardware and other supported devices throughout their lifecycle, including inventory, replacement planning, and secure retirement., • Administer Microsoft Entra ID, security groups, role-based access, multifactor authentication, and Conditional Access., • Develop and maintain device compliance policies, configuration profiles, update rings, and application deployments., • Maintain Group Policy baselines and support the planned transition to modern device management where appropriate., • Support Apple device enrollment and management through Apple Business Manager and other device management platforms., • Maintain identity and provisioning integrations with HR systems, such as ADP Workforce Now or Workday, as applicable. Microsoft 365 Administration • Administer Exchange Online, Teams, SharePoint Online, OneDrive, and related Microsoft 365 services., • Manage service configuration, licensing, permissions, and operational health., • Partner with business stakeholders to improve collaboration, information access, and effective use of Microsoft 365., • Support the evaluation and governed adoption of Microsoft Copilot, Power Apps, Fabric, and Microsoft Foundry in partnership with relevant business and technical owners. Networking and Security • Administer Cisco Meraki infrastructure, including MX security appliances, switches, wireless access points, and cameras., • Monitor LAN, WAN, wireless, internet, and remote-access services for availability, performance, and security issues., • Maintain endpoint protection, firewall policies, secure configurations, and vulnerability remediation processes., • Investigate and respond to security alerts using tools such as Microsoft Defender, Microsoft Sentinel, Cisco Umbrella, and other monitoring platforms., • Apply least-privilege access and established security baselines across systems and endpoints., • Help employees recognize phishing attempts, suspicious requests, and other common security threats. Monitoring, Automation, and Patch Management • Use NinjaOne to monitor endpoints, manage patches, deploy software, and provide remote support., • Develop and maintain scripts and automated workflows that reduce repetitive work and improve consistency., • Establish patch baselines, maintenance windows, remediation procedures, and reporting., • Connect monitoring and alerting with ticketing processes to support timely investigation and resolution., • Evaluate changes for operational impact and maintain appropriate testing, documentation, and recovery procedures. IT Operations and Documentation • Manage incidents, service requests, and escalations through NinjaOne Ticketing or a comparable IT service management platform., • Create and maintain standard operating procedures, knowledge base articles, system documentation, and asset records., • Develop, maintain, and test disaster recovery and business continuity procedures in coordination with business stakeholders., • Maintain major-incident playbooks, escalation paths, and employee communication procedures., • Coordinate vendor support, service commitments, renewals, and statements of work for assigned platforms., • Support Global Relay administration and related retention or archiving requirements in coordination with designated business and compliance owners. Technical Leadership and Continuous Improvement • Provide technical guidance and mentorship to junior IT staff., • Lead assigned infrastructure and service improvement projects from planning through implementation and handoff., • Evaluate technologies such as Virtual Desktop Infrastructure and Azure Virtual Desktop based on business needs, security, cost, and support requirements., • Recommend improvements to system reliability, user experience, and IT efficiency., • Communicate technical risks, options, and recommendations clearly to IT leadership and business stakeholders. What You Bring: • At least 10 years of progressively responsible experience in systems administration, IT infrastructure, or a related hands-on technical role., • Strong experience administering Microsoft 365, including Entra ID, Intune, Exchange Online, Teams, and SharePoint Online., • Hands-on experience with Windows 11, Windows Autopilot, Dell hardware, endpoint configuration, and device lifecycle management., • Experience managing Cisco Meraki networking and security infrastructure., • Strong understanding of identity and access management, Conditional Access, multifactor authentication, security groups, and Group Policy., • Experience using NinjaOne or a comparable remote monitoring and management platform., • Experience with endpoint security, security monitoring, patch management, and incident investigation., • Demonstrated ability to provide Tier 2 and Tier 3 support and troubleshoot complex issues across endpoints, networks, and cloud services., • Ability to develop and maintain PowerShell scripts or comparable automation., • Strong documentation, organization, and prioritization skills., • Ability to explain technical concepts to employees with varying levels of technical knowledge., • Demonstrated ownership, sound judgment, attention to detail, and effectiveness during service disruptions. Preferred Qualifications • Experience with Apple Business Manager, Global Relay, and HR-driven identity or provisioning integrations., • Experience with Microsoft Sentinel, Microsoft Defender, Cisco Umbrella, or comparable security platforms., • Experience supporting Microsoft Copilot, Power Apps, Fabric, or Microsoft Foundry., • Experience implementing or supporting VDI or Azure Virtual Desktop., • Familiarity with ITIL practices, NIST frameworks, CIS Microsoft 365 Benchmarks, and CISA SCuBA guidance., • Relevant Microsoft, Cisco, CompTIA, security, or IT service management certifications., • Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent practical experience. What Success Looks Like • Employees receive responsive support and clear communication., • Systems and endpoints remain secure, reliable, and consistently maintained., • Access and device provisioning are accurate and timely throughout the employee lifecycle., • Recurring incidents and manual tasks decrease through root-cause resolution and automation., • Documentation and recovery procedures remain current and usable., • Technology projects deliver measurable improvements. Who You Are • Proactive: You take initiative and look for ways to help., • Growth-oriented: You're excited to learn and expand your technical skills., • Accountable: You take ownership and follow through with care., • Team-First: You collaborate naturally and support colleagues at all levels. Why Join Us You'll join a team that values learning, mentorship, and collaboration. This role gives you the chance to work with modern tools, build further IT skills, and contribute to meaningful projects. If you're eager to grow and ready for a new challenge, we'd love to connect. Platinum Global Talent Solutions is committed to providing equal employment opportunities to all qualified individuals. We refer candidates based on their qualifications and experience, without regard to race, color, religion, national origin, sex, age, disability, veteran status, or any other legally protected status.

Job DescriptionSoftware Guidance & Assistance, Inc., (SGA), is searching for a - Python Engineer - Quantitative for a right to hire assignment with one of our premier financial services clients in Jersey City, NJ. Responsibilities : • Build the end-to-end system that takes pricing models from front-office quants, deploys them onto a colossal hybrid grid, and orchestrates the massive-scale calculation of risk P&Ls., • Engineer a platform that is incredibly powerful, flexible, and efficient, enabling the firm to run complex scenario-based valuations on demand., • Build the bridge between quantitative research and production-scale execution. The platform you create will directly determine the speed, accuracy, and sophistication of our risk calculations, empowering our business to navigate complex markets with confidence., • Take Architect and build a next-generation, hybrid-cloud platform for running quantitative pricing calculations at massive scale., • Design a sophisticated job orchestration and scheduling system that handles dynamic prioritization, efficient task packing, and resource optimization across the grid., • Engineer a robust, event-driven framework for managing the entire job lifecycle, including handling notifications for job completion and managing the flow of result data from the grid., • Develop a comprehensive error-handling and resiliency strategy to gracefully manage failures in a large-scale distributed environment., • Pioneer the development of an intelligent monitoring platform using ML to perform anomaly detection, predict job failures, and optimize grid performance., • Engineer the secure and efficient data logistics required to move terabytes of market and trade data between on-premise systems and public cloud environments., • Partner closely with front-office quants to onboard, version, and optimize their C++ and Python pricing models for distributed computation Required Skills:, • 10+ years of professional experience with a proven track record of designing and building applications for massive-scale, high-performance compute (HPC) grids., • A degree in a highly technical field such as Computer Science or Quantitative Finance., • Deep domain knowledge in Capital Markets, financial derivatives, and a strong understanding of financial regulations like FRTB., • Expert-level experience with job scheduling, resource management, and workload optimization techniques (task packing, prioritization) on large-scale grids., • Deep expertise in building event-driven architectures and handling asynchronous notifications and replies from distributed systems., • Proven experience designing and building intelligent monitoring tools, ideally leveraging ML for anomaly detection and performance tuning., • Expert-level experience managing workloads in a hybrid cloud environment, with deep knowledge of at least one major public cloud (AWS, GCP) and on-premise grid technologies., • Deep expertise in containerization, orchestration, and scheduling technologies (Docker, Kubernetes)., • Strong programming skills in languages common to high-performance and quantitative computing, such as C++ and Python., • Proven ability to debug complex pricing and model-related issues by partnering directly with quantitative analysts., • Prior experience in a similar role within the financial industry, specifically working on quantitative pricing platforms, large-scale risk calculations, or XVA grids. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy

Job Description Position title: senior software engineer Location: Burbank, California Onsite: 4 days a week Contract: 12 months then either extension or perm (just send people) Interview process: 3 rounds, first is with the manager, then 2 video rounds with lead Must have: AWS serverless architecture, typescript, and AWS Job Description: The Senior Software Engineer will work across multiple engineering initiatives supporting shared services platforms. This individual will collaborate with a team of approximately 10 engineers, attend daily standups, and serve as the primary engineer supporting several inherited projects. Success in the role requires operating independently, making sound technical decisions, and maintaining high standards for code quality and engineering best practices. Must-Have Qualifications • Extensive hands-on experience with AWS cloud technologies., • Deep expertise in AWS serverless architecture and services., • Strong TypeScript development experience., • Ability to independently manage and deliver work with limited guidance., • Strong understanding of software engineering best practices and code quality standards., • Knowledge of AWS security, networking, permissions, and infrastructure considerations., • Ability to evaluate and recommend emerging AWS technologies and solutions. Preferred Qualifications • Experience supporting multiple projects simultaneously., • Background working within shared services or platform engineering environments., • Ability to provide technical guidance and informed opinions on architecture and coding approaches., • Familiarity with modern AWS service offerings and cloud-native design patterns. Day-to-Day Responsibilities • Participate in daily standups and collaborate with engineering teams., • Design, develop, and maintain cloud-based applications and services., • Support and enhance existing AWS serverless solutions., • Drive development efforts across multiple projects and stakeholders., • Ensure adherence to coding standards, security requirements, and engineering best practices., • Research, evaluate, and implement appropriate AWS technologies and solutions.

Job Description POSITION: Senior Project Engineer REPORTS TO: Project Engineering Manager OBJECTIVE: Be a valuable member of Verrex and its Engineering Services Department in the overall Implementation of Verrex’s Mission, Vision and Strategy, enabling Verrex to continue to grow and expand its business. COMPENSATION: Salary, exempt (non-hourly), monthly cell phone stipend. BENEFITS: Verrex offers a comprehensive benefits package to support the health, well-being, and financial security of our employees. Benefits include: • Medical, dental, and vision insurance (VSP), • Company-sponsored 401(k) plan with matching contributions, • Company-paid life insurance and AD&D coverage ($50,000), • Long-term disability (LTD) insurance, • Optional supplemental life insurance available for purchase, • Healthcare and Dependent Care Flexible Spending Accounts (FSAs), • Access to AFLAC supplemental insurance products This benefits summary is intended as a general overview and is subject to the terms and conditions of the official plan documents. RESPONSIBILITIES: • Work as the sole Engineer projects in maintaining and executing major project milestones, including:, • Review materials provided by Sales, including proposal, system description, BOM (bill of material), and other documentation, • Prepare sketches for the creation of facility and electrical drawing packages and wiring drawings., • The CAD department primarily works on drawings, but the engineer is required to have a working knowledge of AutoCAD and is expected to create and edit drawings., • Confirm final selection of equipment based on information provided by sales, client, and/or consultant to ensure expected system functionality, • Generate the job control for Purchasing based on the confirmed and agreed upon BOM, • Determination of bulk cable and connectors, and creation of cable pull schedule, • Creation of audio DSP files (Biamp, Q-SYS, and others), • Creation of Theory of Operation document to define specific system functionality, • Coordinate system functionality with the Programming team, • Shop QA review of systems, • Onsite system testing and commissioning, • Review markups of drawings and work with CAD to create as-built drawing sets, • Attend kick-off meetings and site coordination meetings both online and onsite, • Adhere to project schedules created by Project Managers, • Work closely with and provide support to other members of the internal project team (sales, other engineers, project managers, fabricators, QA, field technicians, programmers, and purchasing), • Coordination with architects, general contractors, and electrical contractors to preemptively avoid issues, ensuring site infrastructure and furniture will accommodate AV systems General Responsibilities: • Be a technical resource for other departments as required, • Be a mentor for Project Engineers, • Help drive the evolution of processes within the Engineering Department, • Be an engineering representative in reviewing Verrex processes with other departments, • Leverage field commissioning as a training opportunity for others internal to the company, • Be a liaison to the Design Engineers, providing feedback both positive and negative to help improve the Sales design process, • Conduct equipment research and testing on new and existing technology, • Proactively seek and review new industry products, providing written feedback and recommendations, • Interface with manufacturers when dealing with equipment problems, • Conduct site surveys, • Attend weekly resource meetings and monthly department meetings, • Attend manufacturer and industry training in-house, off premises, and online, • Provide peer review of drawings This job description may be revised at any given time by Verrex Management. Employee Handbook Please refer to the Verrex Employee Handbook for company policies on such issues as employment wages, salary, benefits, services, reimbursable expenses, employee communications, safety, health, standards of conduct, and corrective action. Equal Opportunity Employer Statement Verrex is proud to be an equal opportunity employer. We are committed to creating an inclusive, respectful workplace where everyone can thrive.

Job Description Job Title: Site Engineer Team: Critical Technologies- Operations Reports To: Critical Technologies Technical Manager or Assistant Technical Manager Office Location: Project Site Based Travel Requirement: 75-100% Travel Requirement Company Vehicle Operations Requirement: Must be able to drive company vehicle Safety Training Requirement: Site Safety trained and HSI Safety enrollment. Typical Work Hours: Monday- Friday 7am-4pm Remote Work: Non-remote unless otherwise determined by management Job Description The Site Engineer is responsible for ensuring functional system performance, accurate documentation, compliance with safety standards, and effective coordination among project stakeholders. This role requires a combination of technical knowledge of BAS and PLC based control systems along with project management skills. They will manage project schedules, mitigate risks, and provide on-site support for programming, field integration, and overall project documentation. Key Responsibilities • Understands project requirements, sequence of operation, programming, and system types., • Ensures proper system operability by assisting in onsite performance verification to confirm system functionality., • Maintains project documentation by updating wiring diagrams, sequence changes, DDC and PLC programs, HMIs, and displays., • Maintains commissioning documentation and collaborates with the programming team for accurate documentation to ensure complete project closeout., • Develop and maintain project plans using Smartsheet, MS Project, Procore, CX Alloy (or similar platforms), including setting up progress dashboards, automated workflows, and performance reports to track milestones and deliverables., • Facilitates communication among project stakeholders to ensure project milestones are met., • Generate analytical reports summarizing project metrics, financial data, and performance to support decision-making by stakeholders., • Monitor project performance to identify risks, forecast potential delays or budget impacts, and implement timely corrective actions to keep projects on track., • Manage building automation and construction projects from initiation through closeout, ensuring scope, schedule, and budget objectives are met while coordinating subcontractors and internal teams., • Assists with field level integrations by staying current with integrations platforms like ModBus, BACnet, LON, OPC, and related software. (i.e. Tridium, Fieldserver, ModScan, Wire Shark., • Conducts site visits and work with specialized field teams to monitor progress and resolve any technical issues., • Safety training in accordance with requirements., • Proper adherence to PPE requirements and maintenance of if PPE is issued, and tasks require its use., • Additional requests and requirements as determined by HBT/CT management relevant to the role. Qualifications • Bachelor’s degree in Construction Management, Engineering, Business, Data Analytics or related field required., • Experience managing construction or building automation/controls projects with responsibility for scope, schedule, budget, and subcontractor management., • Strong familiarity with electrical and mechanical installation practices and commissioning processes in a building technologies environment., • Proficiency with Smartsheet (or similar project management platforms), including building and managing complex project plans, reports, dashboards, and automated workflows., • Demonstrated ability to use project data and analytics to manage risk, forecast outcomes, and drive corrective actions., • Strong organizational, communication, and leadership skills, with the ability to coordinate multiple stakeholders and prioritize tasks across several active projects., • OSHA 30 certification (or ability to obtain within a defined timeframe)., • Willingness and ability to travel up to 75% to job sites and customer locations, including support for high‑profile clients across multiple regions., • A proactive, mentorship‑oriented mindset with a commitment to safety, quality, and continuous improvement., • The employee is responsible for performing all assigned duties in alignment with the metrics and key performance indicators (KPIs) established for this position, and for routinely monitoring, documenting, and reporting performance against these measures to ensure ongoing compliance with organizational standards. Benefits of working at the Hoffman Family of Companies: We are 100% employee-owned through an Employee Stock Ownership Plan (ESOP). This is a retirement benefit for our employees that is wholly paid for by the company in addition to 401(k) options for employee contributions. There are approximately 7,000 ESOPs in the United States, governed by the IRS and the U.S. Department of Labor. Research indicates that ESOP companies tend to grow faster in sales and employment. ESOP employees tend to have 2.2 times as much in retirement savings as employees in traditional companies. In addition to an ESOP, we offer medical, dental, vision, life insurance and PTO! No phone calls please. EEO Employer/Vets/Disabled

Job Description We are currently looking for a Software Engineer to work in the Jersey City, NJ or Westlake, TX office! The Role Designs, modifies, develops and implements software programming applications and components. Supports and/or installs software applications and components. Works from written specifications and pre-established guidelines to perform the functions of the job. May also participate in solution design and requirement gathering. Primarily expertise in Java, Spring, SOA and HTML. 10 years' experience in Primary Skill. Experience with other financial services clients preferred. The Expertise and Skill You Have • 10 years of software development experience on business critical, enterprise-wide applications, • Bachelor's degree in computer science / similar technical subject area and or equivalent experience, • Core Java & Spring Boot: Proficient in building and maintaining RESTful APIs and backend services, • Database Design: Strong SQL, PLSQL programming skills, database concepts i.e. RDBMS, ORD, ODS and performance tuning, • Cloud Exposure: Basic familiarity with cloud platforms (preferably Azure), • CI/CD & DevOps: Experience using Git, Jenkins, and build pipelines, • Design Patterns: Applies standard design patterns in development, • Secure Coding: Follows secure coding practices and guidelines, • Testing: Writes unit tests using JUnit and participates in code reviews, • Problem Solving: Breaks down tasks and contributes to feature development, • Communication: Collaborates effectively within the team and with leads, • You thrive in a collaborative environment and tackling new challenges, • Your communication with peers and leaders is clear and effective, • You help provide technical leadership and direction, • You are willing and excited to add your voice and opinion to the discussion, • You love to take initiative to solve a problem and get the job done, • Others:, • Ability to work independently, • Demonstrated experience in mentoring, leading a team, • Good communication skill to both technology folks and business partners., • Quick learner, • Committed to timely and quality deliverables. The Value You Deliver • Contributing to the team in technical guidance and mentoring junior/new team members., • Coordinating and contributing to research into new technologies as part of a team and with the Architecture team to make judgement and recommendations for future releases., • Actively participating in peer code reviews, design reviews and being available to help others when needed., • Providing business requirements and translate them into detailed designs, consider the best strategy to ensure design meets performance, security, usability, and reliability and scalability requirements

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: Thea Energy is seeking a detail-oriented HTS Magnet Multiphysics Modelling Engineer to join its rapidly growing magnet engineering team. In this role, you will support the design, analysis, and testing of high temperature superconducting (“HTS”) magnets, foundational components of Thea Energy’s planar coil stellarator. You will work closely with senior engineers to develop and run HTS Magnet Engineering tools to simulate and predict magnet system performance. Candidates will need to be familiar with magnetostatic, quench and AC loss analysis techniques. This position will also require you to work closely with manufacturing and test teams to ensure analytical assumptions and test data are aligned with your analysis and simulation needs. This is an excellent opportunity for an ambitious early-career engineer or analyst to build deep expertise in HTS magnet technology within a fast-paced fusion energy company. Key Responsibility Areas: • Utilize your experience to develop industry state-of-the-art analytical models of HTS Magnet Systems, • Run and maintain Multiphysics simulations (e.g. Ansys EM, Structural, COMSOL) under the direction of senior engineers, • Collect, process, and analyze data from magnet design studies and test campaigns, • Build and maintain data analysis tools, scripts, and dashboards using Python or similar languages, • Support documentation of magnet specifications, test procedures, and results, • Track program metrics and help prepare progress reports against milestones, • Assist with organizing and maintaining design and test records, drawings, and vendor documentation, • Support coordination with vendors and internal stakeholders on data and documentation needs, • Identify data quality issues, trends, and anomalies and flag them to the engineering team, • Familiarity with electro-mechanical, magnetostatic, quench and AC loss analysis, • Opportunities to get involved in many aspects of the design, manufacturing and testing of these magnet systemsIdeal Experience & Skillsets:, • 1–3 years of experience in engineering, physics, or a data-analysis-focused role; internship or academic research experience with magnets, cryogenics, or electromagnetics a plus, • Proficiency with Python (or similar) for data analysis and scripting, • Familiarity with Multiphysics simulation tools (Ansys, COMSOL) or strong willingness to learn quickly, • Working knowledge of CAD software (Solidworks, CATIA, NX) a plus, • Strong analytical and quantitative problem-solving skills, • Excellent organizational skills and attention to detail, • Ability to work independently on well-defined tasks and escalate ambiguity appropriately, • Comfortable working to aggressive deadlines in a fast-paced, rapidly changing environment, • Clear written and verbal communication skills, • Genuine curiosity and desire to learn magnet engineering fundamentals, • At least a bachelor’s degree in physics, electrical engineering, mechanical engineering, materials engineering, computer science, or a related fieldRequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics.Company Benefits:, • Salary range $85,000-$120,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTO It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. 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 Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Responsibilities Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience. CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Qualifications ROLE AND POSITION OBJECTIVES: As an Embedded Software Engineer working with custom Hardware built in-house, for our Cyber group, you’ll be a member of a cross functional team responsible for developing mission critical NSA-certified Cybersecurity devices in a rapidly growing product line. You’ll be working at the cutting edge of Cybersecurity and high-speed data. We encourage you to apply if you have any of these preferred skills or experiences: • Real-Time Embedded software, preferably on Linux OS, • Real world experience developing in a systems programming language such as C/C++, with Rust experience preferred, • Extensive experience with software design, code, integration, and test, • Long development lifecycle and product lifespans, requiring maintenance and regular technology refresh, • Concurrent programming Nice to have experience with: • Heterogeneous computing systems, • Security-Enhanced Linux (SELinux), • ARMv8 architecture, • Serial communication protocols, hardware interfaces, and device drivers, • Computer Networking What sets you apart: • Passion for designing complicated systems and working on problems of diverse scope., • Ability to define the scope, schedule, and expectations for the work you execute., • Shows initiative on assignments and executes projects with little guidance and can provide technical direction and leadership., • Ability to turn CONOPS, Specifications or Requirements into software design, code, test plans, and then execute testing/debugging., • Proficiency with software tools supporting Integrated Development Environments (IDE), version control, defect tracking, and scripting., • Identifies opportunities to apply AI for continuous improvement and innovation Our Commitment to You: • An exciting career path with opportunities for continuous learning and development., • Research oriented work, alongside award winning teams developing practical solutions for our nation’s security, • Flexible schedules with every other Friday off work, if desired (9/80 schedule), • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more, • See more at gdmissionsystems.com/careers/why-work-for-us/benefits Workplace Options: This position is Fully On-Site. While on-site, you will be a part of the Florham Park, NJ facility. #CJ3

Job Description About Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We're hiring a Forward Deployed Engineer, who will report to our VP of Forward Engineering. Together, you'll be the technical face of Dyania inside every client we deploy Synapsis AI into, owning the relationship from deployment through ongoing operation. As we scale, that technical interface will run through the Forward Deployed Engineering team. This is a hybrid role: part client-facing technical liaison, part builder, translating what health systems need on the ground into the engineering work -data models, integrations, pipelines, and workflows- that makes Synapsis AI run reliably inside the healthcare system’s firewalls. As an Individual Contributor in this role, you'll thrive in a fast-changing, innovation-driven environment and partner hand-in-hand with our Clinical Innovations team composed of MDs, PharmDs, and PhDs. They define the clinical components of our solution; you own the technical side. What you will own Client technical requirements • Serve as the primary technical liaison to the client throughout deployment, owning the technical aspects of the onboarding process end to end in direct partnership with our Clinical Innovations Group and Business Development teams., • Prepare deployment timelines and coordinate release schedules alongside our release and reliability engineering teams., • Collaborate on cybersecurity reviews and other technical evaluations of Synapsis AI, guiding clients to sign-off. Client growth and platform feedback-loop • Capture technical requirements from clients and drive the development of the engineering features needed to ensure Synapsis AI efficient and reliable processing., • Own the data mapping and integration work needed both during deployment and as new use cases emerge at client sites. Implementation • Analyze and validate the various data environments and data sources Synapsis AI needs to integrate to., • Lead database mapping efforts, SQL logic definition, and prioritization of sources of truth across complex medical data pipelines., • Build and fine tune ETL pipelines that feed Synapsis AI the information needed to process clinical projects, • Partner closely with our Clinical Innovations team, who shape the clinical instructions Synapsis AI runs on, to implement clinical projects., • Support the Clinical Innovations and Business Development teams on reporting needs to ensure Synapsis AI accuracy and reliability in production. Stand-up and operational activities • Build pipelines that automate manual tasks across deployment and the day-to-day operation of Synapsis AI., • Monitor system activity and service health in partnership with our engineering team and client-side engineering team, proposing enhancements as issues or opportunities surface., • Develop, request, or enhance the workflows that support the day-to-day operation of Synapsis AI at each site., • Together with the VP Forward Engineering and in coordination with our Clinical Innovations team, own the technical communication with the client at an operational level while capturing client- and project-specific needs, translating them into clear, actionable requirements for Engineering, Product, or other internal teams at Dyania. Requirements Required Qualifications • Bachelor’s degree in Engineering, Computer Science, or a related technical field., • +5 years of experience as a software engineer using Python or similar coding languages., • +2 years of technical experience that includes customer-facing work., • Experience working with both SQL (e.g. MSSQL, Postgres) and NoSQL (MongoDB) data stores, including schema design, query-level performance tuning, and data mapping., • Experience with containerization (Docker), building and operating services in production, and CI/CD pipelines., • Hands-on experience with event-driven or workflow-based architectures (i.e.: queue/worker systems, pub/sub, durable workflow engines, or similar orchestrations of distributed, retriable jobs)., • Experience analyzing systems and providing operational enhancements., • Experience communicating risks or failures and capacity to adjust quickly and fix where needed., • Experience leading technical sessions with customers for requirements gathering, technical presentations, and/or debugging sessions., • Clear written and verbal communication skills with external and internal stakeholders., • Proven capability to operate in fast-moving, high-expectation, founder-led environments., • Comfortable with ambiguity and rapid scaling. Preferred Qualifications • Master’s or PhD degree in AI, Engineering, Computer Science, or a related technical field., • Experience as a Software Engineer on data-intensive systems in healthcare, bioinformatics, or a similarly regulated domain., • Experience automating processes using generative-AI tools., • Experience leading or partnering closely within cross-functional, multidisciplinary teams., • Experience working in a startup-environment, building products from 0 -> 1 and taking systems from conception to launch., • Strong understanding of medical terminology, EMR data structures, clinical logic, and research methodology. Who is a Dyanian? • Leads with empathy for our patients, teammates, partners, and clients, • Has an insatiable curiosity for learning new concepts and intellectual growth, • Has self-awareness in knowing what they know and what they don't know, • Maintains humility in recognizing that perfection does not exist, welcoming growth that comes from being wrong, • Has a magnetic attraction towards cross-disciplinary teams with diversity of thought, perspective, skill set, working style, knowledge, and interests who have a passion for solving challenging problems, • Maintains a flexible and adaptive attitude towards solving problems Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Visa sponsorship At Dyania Health, we sponsor visas on a case-by-case basis. Travel Requirements 25% - 30% Compensation Base salary range: $160,000 – $225,000 per year. The salary range represents Dyania Health's good-faith estimate of the base compensation for this position at the time of posting. Actual compensation will depend on factors such as experience, qualifications, skills, and other job-related considerations. This position may also be eligible for participation in Dyania Health's employee stock option plan. Benefits Benefits available to eligible employees include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Life and disability Insurance Work Arrangement Hybrid position requiring approximately 3–4 days per week in our Jersey City, NJ office, with approximately 1 day per week remote.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking a highly motivated Computational Nuclear Engineer to join our team, focusing on neutronics and multiphysics simulations for stellarator fusion systems. The ideal candidate will possess a strong background in computational transport methods, with a particular emphasis on multiphysics reactor design, dose rate calculations, and radiation shielding optimization. You will work with minimal supervision, contributing to cutting-edge research and development to ensure the safety and performance of Thea Energy’s stellarator systems. Key Responsibility Areas: • Develop and implement advanced workflows for high-fidelity neutronics and related multiphysics simulations in complex 3D stellarator geometries., • Conduct simulations of fusion blanket performance, including tritium breeding ratios (TBR), energy deposition, material activation, radiation shielding, and more., • Collaborate with cross-disciplinary teams to perform multiphysics coupling (e.g., neutronics to thermal-hydraulics or structural analysis) to refine reactor designs., • Perform dose rate calculations and design optimized shielding solutions for personnel and sensitive equipment., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings. Ideal Experience & Skillsets:, • PhD in Nuclear Engineering, Computational Physics, Applied Physics, or a related field with 2+ years of experience; or a Master’s degree in a relevant field with 4+ years of experience., • Strong knowledge of Monte Carlo radiation transport codes (e.g., OpenMC, MCNP, Serpent)., • Proficiency in programming languages commonly used in scientific computing, specifically Python and C++., • Proficiency in modern scientific software development best-practices (e.g. git, GitHub, CI), • Experience in multiphysics coupling frameworks (e.g., MOOSE, Cardinal, NekRS)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills:, • Experience with nuclear data processing and libraries (e.g., NJOY). Experience with deterministic neutron transport solvers (e.g. Atilla, OpenSN), • Familiarity with High-Performance Computing (HPC) environments and parallel programming (MPI/OpenMP)., • Background in applying machine learning techniques to optimize nuclear simulation results or data handling., • Understanding of fusion-specific nuclear challenges, such as first-wall material damage and tritium fuel cycle management. Personal Attributes:, • Ability to work independently and manage projects with minimal supervision in a startup environment., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally., • Persistent optimism and a willingness to take on tough challenges., • Excited to think creatively about solutions to difficult problems and not relying solely on what has been done before. Company Benefits:, • Salary range: $120,000-$180,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTO It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. 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 DescriptionPosition title: senior software engineer Location: Burbank, California Onsite: 4 days a week Contract: 12 months then either extension or perm (just send people) Interview process: 3 rounds, first is with the manager, then 2 video rounds with lead Relos: yes Must have: AWS serverless architecture, typescript, and AWS Job Description: The Senior Software Engineer will work across multiple engineering initiatives supporting shared services platforms. This individual will collaborate with a team of approximately 10 engineers, attend daily standups, and serve as the primary engineer supporting several inherited projects. Success in the role requires operating independently, making sound technical decisions, and maintaining high standards for code quality and engineering best practices. Must-Have Qualifications • Extensive hands-on experience with AWS cloud technologies., • Deep expertise in AWS serverless architecture and services., • Strong TypeScript development experience., • Ability to independently manage and deliver work with limited guidance., • Strong understanding of software engineering best practices and code quality standards., • Knowledge of AWS security, networking, permissions, and infrastructure considerations., • Ability to evaluate and recommend emerging AWS technologies and solutions. Preferred Qualifications • Experience supporting multiple projects simultaneously., • Background working within shared services or platform engineering environments., • Ability to provide technical guidance and informed opinions on architecture and coding approaches., • Familiarity with modern AWS service offerings and cloud-native design patterns. Day-to-Day Responsibilities • Participate in daily standups and collaborate with engineering teams., • Design, develop, and maintain cloud-based applications and services., • Support and enhance existing AWS serverless solutions., • Drive development efforts across multiple projects and stakeholders., • Ensure adherence to coding standards, security requirements, and engineering best practices., • Research, evaluate, and implement appropriate AWS technologies and solutions.

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the role Join Syndio to sell mission‑driven, category‑defining tech. We help companies get pay right. For almost a decade, we have led in pay equity software and now, with Decisions, we are delivering instant, explainable guidance for offers, promotions, and adjustments right where work happens. Decisions embeds fairness with policy‑aligned recommendations and auditable guardrails, helping customers hire faster, reduce attrition, strengthen compliance, and improve performance. You'll help the world's largest employers move from fixing pay once a year to getting it right every time by partnering with CHROs, Heads of Total Rewards, Legal, and Talent Acquisition. Because we're creating a category, we need AE comfortable with ambiguity: testing new approaches, learning fast, and folding what works into your talk track. Expect high impact, true enterprise rigor, and a product you can be proud to sell. Why this job is exciting • Own the full sales cycle, from generating pipeline to close. You'll partner with our ADRs and Marketing, and when there are gaps, you fill them and advocate for what your territory needs., • Define and execute territory plans and account plans to ensure you exceed your goals., • Build and manage a healthy pipeline of complex, multi-stakeholder deals, navigating buying committees and RFPs that can involve 10–15 people., • Quarterback the demo: run core product demos yourself, and partner with our Solutions Engineering team to tailor deeper demos around the value, business case, and story each buyer needs to hear., • Participate in the RFP process for prospects, including qualifying leads to ensure a good fit and providing a final review of all responses., • Operate with the mentality that sales is a team sport, and bring in Syndio SMEs (e.g. lawyer, labor economist, data scientist, testifying expert, CEO) to help you win and exceed your goals., • Get in front of customers: we're building a stronger in-person motion, with travel about 1–2 times per quarter for onsites, executive meetings, and events., • Operate as a self-directed owner of your territory in a fully remote, distributed team. You'll build your own structure and cadence rather than wait to be told what to do next.About you, • You have more than 7+ years experience in sales, and 5 years as a closer, • Consistent overachievement in complex enterprise sales, where complexity means the deal, not just the deal size: multiple departments, long cycles, and many steps to close, • You multi-thread naturally, building relationships with 3–5+ core stakeholders on a deal and selling to executives, with a tailored value story for each, • You've sold somewhere scrappy. When something wasn't built yet, or a client asked a question you couldn't answer, you figured it out instead of waiting for a team to do it for you, • You forecast accurately because you know your deals: you spot what's missing and work with your manager to close the gap, • You can run a confident product demo and tell the story behind it, and you know when to bring in a Solutions Engineer, • You have experience in outbound prospecting and generating leads in your territory, • You are proficient in Salesforce, LinkedIn Sales Navigator, Outreach (or equivalent), and Gong. You use AI tools (e.g. Claude/ChatGPT, Gong AI, Clay) as a normal part of how you research accounts, prep for calls, and personalize outbound, not as a novelty, and you bring ideas for where technology can help the team, • You have a highly disciplined approach to selling, • You are savvy, capable of curating a thoughtful approach to pay equity, diversity and inclusion, and workplace fairness for each individual client, • You're comfortable operating in ambiguity, building your own playbook when one doesn't fully exist yet, rather than waiting for one, • You bring a positive attitude, hustle, and persistence to your role, • You are an excellent communicator, able to build relationships quickly with your colleagues, clients, and prospects, • You're consultative, not scripted. You're curious, a great listener who knows where to poke and prod with prospects to inspire them to take action and drive organizational change, • You know how to drive a deal and proactively lead prospects and customers (rather than reacting to their requests), • You are proficient with spreadsheets, presentation, and project management business applications, • You are committed to our mission of workplace equity and passionate about Syndio productsExtra credit, • Experience selling to compensation and total rewards professionals, • Overall understanding of the HR technology landscape, • Background selling compensation, HR, Business Intelligence/Analytics solutions, • Experience selling an AI-native or AI-augmented product, where the pitch itself has to explain how the AI works, not just what it does, • A track record of in-person, field-based selling: onsites, coffees, and events that build relationships beyond ZoomRole progression We're rebuilding onboarding with AI built in across every function, so new AEs ramp faster, with a ramped quota through your first year. • Within 2 months, you'll know the core of Syndi, understand Essentials and Decisions, the pay equity and compensation space, and the vocabulary our buyers use. You'll be leading discovery calls and core demos, and you'll have a territory plan., • Within 3–6 months, you'll be building pipeline across your territory through outbound, events, and in-person meetings, and leading sales efforts at large enterprise accounts with SE support., • Within 6 months, you'll be confident in your role and will provide input into other areas of the business (e.g. marketing & product) based on what you're hearing from prospects. For reference, our most recent AE hire closed their first deal within 6 months and exceeded quota the first year.Why you'll love it here:, • ???? Competitive Compensation. For this role our base salary is targeted at $145,000- $150,000 base per year with a $290,000 - $300,000 at target earnings, with no cap. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • ???? Syndio Equity. So you can share in Syndio's success., • ???? Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave., • 16 weeks of paid parental leave, • ???? Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • ???? Life Insurance & Disability. Syndio covers the full premium., • ???? 401(k). To help you save for your future., • ????Remote-first working model, with travel about 2-3 times per quarter #LI-Remote The Interview overview Below you'll find an outline of the interview plan for our Account Executive position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min interview with a member of our Talent Team, • 45 minute zoom interview with the Hiring Manager, • 45 minute zoom interview with a sales leader and one of our Account Executives, • Zoom interview with a member of our executive team, • Final presentation to a panel - 60 minutes, • In person meet & greet At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job DescriptionRole Name: Power Systems Software Engineer Work Location: Remote Position Overview We are seeking experienced Power Systems Software Engineers to support the development, enhancement, implementation, and maintenance of advanced grid management, electricity market, and energy management software solutions. The ideal candidate will combine strong power systems domain expertise with hands-on software development experience and will be comfortable working with high-availability applications supporting electricity markets, grid operations, and utility environments. Key Responsibilities: • Enhance, evolve, maintain, and support high-availability electricity market and grid management software applications., • Develop, maintain, troubleshoot, and optimize power systems application functionality., • Participate throughout the software development lifecycle, including design, development, testing, implementation, deployment, and production support., • Develop code fixes, model conversion tools, technical documentation, and user interface enhancements., • Analyze and resolve complex technical issues affecting power systems and grid applications., • Collaborate with engineering, product, development, and other cross-functional teams in an Agile environment., • Support software implementations, upgrades, integrations, and overall project delivery., • Improve application performance, scalability, reliability, and software quality., • Translate power systems and electricity market requirements into effective software solutions., • Support mission-critical applications used in grid operations and energy market environments.Required Qualifications:, • Bachelor's or Master's degree in Electrical Engineering, Power Systems Engineering, Computer Science, Applied Mathematics, Operations Research, or a related discipline., • Hands-on experience with Power Systems Analysis., • Experience with Power Systems Application Software Development and Implementation., • Knowledge of electricity markets, grid operations, Energy Management Systems (EMS), or utility applications., • Hands-on software development experience with one or more of the following:, • Java, • C++, • .NET, • Strong analytical, troubleshooting, and problem-solving skills., • Experience working in an Agile software development environment., • Ability to bridge power systems engineering requirements with software development and implementation.Preferred Qualifications Experience or knowledge in one or more of the following areas is highly preferred: • Security-Constrained Unit Commitment (SCUC), • Economic Dispatch, • Mixed Integer Programming (MIP), • Mathematical optimization and optimization algorithms, • Applied Mathematics, • Operations Research, • Energy Management Systems (EMS), • Electricity market applications, • Grid management software, • Utility and power systems applications, • Grid modernization and integrated grid solutions, • Power system stability, • Transmission and/or distribution systemsIdeal Candidate Profile: The ideal candidate will demonstrate a strong combination of: • Deep understanding of power systems and electric utility operations., • Strong software engineering and application development skills., • Experience developing, implementing, or supporting grid, EMS, electricity market, or power systems applications., • Knowledge of mathematical optimization techniques used within electricity market and grid applications., • Ability to work effectively across both engineering and software development disciplines. “All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”

Job DescriptionPosition Overview We are seeking a senior-level AI/ML Security Engineer to help establish and mature security practices across machine learning, generative AI, and agentic development environments. This is a Hybrid onsite engagement, located in NJ 3 days a week, ideally paying on a W2 hourly basis. This role sits at the intersection of cybersecurity, software engineering, MLOps, and emerging AI technologies. The engineer will be responsible for identifying risks within AI/ML systems and building practical security controls into the platforms, pipelines, and development processes used to create and deploy them. A major focus will be securing the rapidly evolving use of LLMs, AI coding assistants, autonomous agents, RAG architectures, and agentic software-development workflows. The ideal candidate is highly technical and capable of both defining security strategy and implementing controls through code and automation. Key Responsibilities Design and implement security controls throughout AI/ML and MLOps pipelines, including data ingestion, model development, validation, storage, deployment, and inference. Assess security risks associated with machine learning models, LLM applications, AI agents, datasets, prompts, and AI-enabled applications. Evaluate the security of AI coding assistants, coding agents, autonomous agents, and agentic workflows used within software engineering organizations. Establish security guardrails for AI-assisted development platforms, agent orchestration frameworks, and autonomous development pipelines. Help develop an enterprise framework for securing the Agentic Development Lifecycle (ADLC), incorporating threat modeling, secure development requirements, testing, deployment controls, approvals, and continuous monitoring. Evaluate AI Security Posture Management (AI-SPM) capabilities and establish processes for discovering, classifying, prioritizing, and remediating AI-related security risks. Assess emerging attacks against LLMs, frontier AI models, and autonomous agents and translate those risks into preventative and detective security controls. Develop and maintain automation and security capabilities using Python and CI/CD technologies. Integrate model and AI security scanning into development pipelines as part of a shift-left security strategy. Analyze model-scanning and vulnerability-assessment results and partner with engineering teams on remediation. Assess model inference and deployment architectures with consideration for security, performance, scalability, and resource utilization. Evaluate security surrounding agent sandboxes, runtime environments, tool access, permissions, agent-to-tool communication, and execution workflows. Establish controls governing autonomous agent behavior, including permissions, approval mechanisms, runtime restrictions, secrets management, and data-access boundaries. Partner closely with application security, platform engineering, software development, data science, and machine learning teams. Research emerging AI security threats and recommend improvements to enterprise security architecture and engineering practices. Required Experience 8+ years of experience across software engineering, cybersecurity, application security, platform engineering, or related technical disciplines. 5+ years of hands-on software engineering or development experience. Strong understanding of AI/ML security, GenAI security, and agentic AI risks. Hands-on experience building or supporting MLOps pipelines and model deployment environments. Experience with platforms such as MLflow, Kubeflow, AWS SageMaker, or comparable MLOps technologies. Strong Python programming and automation skills. Strong understanding of modern CI/CD pipelines and secure software-development practices. Experience incorporating security testing or scanning into automated development pipelines. Hands-on familiarity with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, Windsurf, Microsoft Copilot, or similar platforms. Experience using AI-assisted engineering techniques across one or more languages such as Python, Java, JavaScript, C#, .NET, or Go. Strong understanding of LLMs, AI agents, autonomous workflows, RAG architectures, tool-calling systems, and agent orchestration. Experience assessing the security implications of agent runtime environments, sandboxing, tool permissions, and autonomous execution. Ability to assess and prioritize risks involving AI models, prompts, datasets, agents, and AI-enabled applications. Strong understanding of AI/ML attack vectors, including: Prompt injection Data and model poisoning Model extraction and inversion Adversarial inputs and examples AI/ML supply-chain vulnerabilities Excessive agent permissions and unsafe tool usage Sensitive-data exposure Familiarity with industry guidance such as the OWASP security frameworks for LLM and machine-learning applications. Experience with model vulnerability scanning, model security assessment, or similar AI security tooling. Understanding of common ML model and serialization formats such as Pickle, TensorFlow formats, and SafeTensors. Familiarity with both structured and unstructured data environments, including SQL databases, data warehouses, object storage, and NoSQL platforms. Understanding of cloud, container, microservices, and application security principles. Excellent analytical and problem-solving skills. Technical Environment Experience with several of the following technologies would be valuable: AI/ML & Data MLflow Kubeflow SageMaker Databricks RAG architectures LLM and agent frameworks Development Python Java C# / .NET JavaScript Go REST APIs Microservices DevSecOps / CI/CD Git Bitbucket Jenkins Artifactory Nexus SonarQube Snyk Jira Automated security scanning Preferred Background Previous experience as a software engineer or software architect before moving into security. Experience implementing model-scanning capabilities across an enterprise ML development environment. Experience defining security architecture for GenAI or agentic AI platforms. Familiarity with AI Security Posture Management concepts and tooling. Strong knowledge of secure design patterns for cloud-native and containerized applications. Experience working within Agile engineering organizations. Experience communicating emerging technical risks to engineering leadership and non-security stakeholders. Education & Certifications • Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, Information Systems, or a related technical discipline, or equivalent professional experience., • Security certifications such as CISSP, CSSLP, CEH, GCIA, GPEN, or GWAPT are beneficial but not required.

Job Description Job Summary The Manufacturing Engineer is responsible for providing improvement solutions for the facility's production tooling, equipment, and procedures to ensure efficient operations. This hands-on position requires spending the majority of time on the manufacturing floor and must be able to take projects from conception to completion. Primary Job Responsibilities • Programming for all production processing needs., • Preparing jobs to be released for production. Familiarity with Amada VPSS BLANK 4ie software is a plus., • Creates product assembly work instructions and manufacturing equipment processing instructions., • Maintains a program database and detailed records on all CNC machines (Amada Turret Punch, Laser, Punch/Laser Combo)., • Uses engineering drawings to program machinery for engineered items., • Troubleshoots problems with failed products, products, or systems., • Participates in the resolution of quality issues and drive associated improvements., • Identifies and plans manufacturing assembly and test workflow layout., • Works with Quality Manager to ensure and maintain compliance with safety, operational, and regulatory standards of Quality Management Systems (QMS), Environmental Management (EMS), and Occupational Health & Safety Association (OHSA)., • Continuously assesses opportunities for improvement and any needed changes to management systems., • Evaluate manufacturing processes by designing and conducting research programs., • Develops manufacturing processes by studying product requirements, researching testing methods, and conferring with equipment vendors., • Improves manufacturing efficiency by analyzing and planning workflow, space requirements, and equipment layout., • Ensures product and process quality by designing testing methods., • Provides manufacturing decision-making information by calculating production, labor, and material costs., • Provides manufacturing engineering information by answering questions and requests., • Maintains product and process database by writing computer programs and entering data., • Completes design and development projects by training and guiding technicians., • Maintains professional and technical knowledge by attending educational workshops. Job Qualifications • Bachelor’s degree in Mechanical or Manufacturing Engineering, or 5 to 10 years of manufacturing experience in a related field., • 3 to 5 years of Solidworks or Inventor experience as well as:, • CAD and 2D drafting experience., • Machine Code experience., • CNC and Automation experience (Amada AP100US or similar software)., • ISO 9001 experience with process documentation and system audits., • Relevant industry experience in the manufacturing environment. Why Choose Us? Raycap, Inc. has decades of experience creating products that protect and support the world’s most valuable assets from power and lightning surges. We focus on 5 Core Values of Customer Focus, Talent, Excellence, Innovation and Integrity, and those values show in everything we do. We also believe it is very important to invest in our employees, and we are proud to offer: • A very competitive benefit package, • Paid Time Off, • 10 company paid holidays, • Tuition Reimbursement, • A generous 401(k) employer contribution Raycap is an Equal Opportunity / Affirmative Action Employer. All qualified applicants receive consideration for employment without regard to age, disability, race, color, national origin, sex, marital status, sexual orientation, religion, gender identity, creed, veteran or military status, or other protected status. We participate in E-verify for all employment verifications. Drug-free workplace.

Full Stack Developer/Engineer Position Details • Location: Newark, NJ (Hybrid), • Type: Contract to Hire, • Client: Leading financial firm Pay • $60 - $65 per hour on W2, depending on experience, • No C2C About the Role • Partner with product owners, tech leads, designers, engineers, and delivery professionals, • Code, test, and debug new and existing applications to solve complex business problems, • Help deliver innovative products, services, and customer experiences in an agile environment Responsibilities • Build applications using current coding practices, modern design patterns, and sound architectural principles, • Develop high quality, well documented, and efficient code that meets company standards, • Work with product owners to define feature stories and with tech leads on technical design, • Write unit tests, integration tests, and functional automation, • Research and resolve issues found by QA or product support, • Stay current on emerging technologies and share feedback and ideas with the team, • Analyze data and solve problems of varying scope Required Skills • Strong hands-on experience with React.js (hooks, state management, component-based architecture), • Backend development experience with Node.js (Express/NestJS) and RESTful API design, • Experience with Spring Boot and Java, • Proficiency in JavaScript/TypeScript across the full stack, • Experience designing and integrating REST/GraphQL APIs and microservices, • Hands-on experience with AWS services (EC2, S3, API Gateway, Lambda), • Docker containerization and deployment to AWS ECS or EKS, • CI/CD pipelines and automated deployments in AWS, • Understanding of cloud infrastructure concepts (VPC, IAM, load balancing, auto scaling), • Database experience with PostgreSQL, MongoDB, or other NoSQL, including query optimization, • Monitoring and logging tools such as CloudWatch Primary Skills • React, • Spring Boot, • AWS services

Senior Full Stack Software Engineer (Java / React) Position Details • Type: Contract to Hire, • Industry: Leading Financial Firm, • Location: Hybrid in Newark, NJ, • Pay Rate: $65 - $70 per hour on W2, • No C2C What You Will Do • Build applications using modern design patterns, architectural principles, and current industry coding standards, • Develop high-quality, well-documented, and efficient code, • Collaborate with product owners to define feature stories and with tech leads on technical design, • Write unit tests, integration tests, and functional automation, • Research and resolve issues identified by QA or product support, • Coach team members and bring input on relevant and emerging technologies, • Solve complex problems that require evaluating intangible variables, • Work with Python, Java, JavaScript, React, and Spring Boot Required Qualifications • Bachelor's degree in Computer Science, Engineering, or related experience, • 6+ years of hands-on experience building enterprise-grade applications with modern Java and JavaScript ecosystems, • Strong UI expertise building modern applications with React and JavaScript, • Financial or Insurance industry experience, • Experience with agentic frameworks and AI-driven development tools (Claude Code, GitHub Copilot, etc.), • Experience with Agile methodologies and Test-Driven Development (TDD), • Excellent problem-solving, communication, and collaboration skills Technical Skills (Advanced Experience in Several) • Languages: Java, Python, JavaScript, TypeScript; OOP, design patterns, distributed systems, • Java Services: Spring, Maven, Microservices, multi-threading, concurrency, parallel processing, • Frameworks: React, Spring Boot, Flask, Django, Node.js, • Data Stores: PL/SQL, DB2, Oracle, Postgres, Redshift, NoSQL, • Data Streaming: SQS, Kinesis, AWS MSK, EventBridge, • APIs: REST, SOAP, JSON, XML, JDBC, SOA patterns, • API Management: Kong, Apigee, • Security: Secure coding, DevSecOps, JWT, SSL, SAML 2.0, OpenID Connect, OAuth 2.0, • DevOps: GitHub, Bitbucket, Subversion, Jenkins, • AWS: Core services across compute, storage, database, IAM, and analytics, • Testing: Unit, interface, end-user, and automated testing, • Accessibility awareness, monitoring, and logging Preferred Qualifications • Domain Driven Design (DDD), • AWS cloud-native solution development, • Architecture patterns, design, and critical thinking

Job Title: Qualitative Engineer Location: Jersey City, NJ Duration: Contract to Hire. Job Description We are seeking a Qualitative Engineer, Massive-Scale Pricing Engine to join our dynamic team. The ideal candidate will have strong experience in Python, distributed systems, cloud/grid computing, and market risk pricing platforms and a proven ability to design, scale, and operate high-performance pricing grids that deliver fast and reliable valuation at enterprise scale. Responsibilities: • Architect, build, and manage a large-scale distributed compute grid on AWS or GCP for financial pricing models., • Design and implement orchestration for distributing millions of pricing tasks across extensive CPU and GPU fleets., • Deploy, manage, and version a library of quantitative pricing models for optimal performance in distributed environments., • Monitor and optimize performance, cost, and resource utilization to drive continuous efficiency gains., • Collaborate with quantitative development teams to integrate new and updated models into production workflows., • Engineer robust data logistics to deliver market data, trade data, and configurations at runtime., • Ensure high availability, resiliency, and adherence to recovery time objectives for the pricing engine. Required Skills & Qualifications: • 10+ years designing, building, and operating applications on large-scale compute grids., • Expert hands-on experience with AWS or GCP, including batch processing, containers, and serverless services., • Deep expertise with Docker and Kubernetes., • Strong programming skills in Python and C++ for high-performance computing., • Background in distributed systems, performance tuning, and infrastructure as code., • Experience with large-scale Monte Carlo simulations, VaR, or XVA pricing grids in financial services is desirable., • Excellent problem-solving skills and the ability to operate in high-pressure environments., • Clear communication skills with stakeholders in quantitative research, trading, and risk. Preferred Skills: • Experience with market risk platforms, grid schedulers, and pricing engines., • Familiarity with cost optimization and observability in large cloud estates.

Role Overview: • The person will be part of the Global Technology team for a major Insurance client. He/ She will work as a Senior Cloud Engineer within the CDO EDP team and will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the data infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency, • They will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond., • The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion, • A suitable candidate should have 8+ years of IT experience with at least 5+ years of experience working as an AWS Data Engineer. He/ She should be able to deal with ambiguity., • Experience in life insurance preferred but not mandatory. Key Responsibilities & Skillsets: • Common Skillsets:, • Superior analytical and problem solving skills, • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision, • Good communication skill for client interaction Application development Skillsets: • Strong ability to debug complex data workflows, optimize application and ETL code, and automate data transformation processes, • Systematic, analytical problem‑solving approach with strong ownership over data quality, performance, and delivery, • Ability to quickly evaluate new AWS data and analytics services and determine fit for data pipelines or application architecture, • Hands‑on experience developing data workflows and infrastructure using IaC frameworks such as CloudFormation or Terraform (as needed), • Working knowledge of CI/CD pipelines primarily to support data application deployments (Jenkins, CodePipeline, etc.), • Proficient with Git for versioning data processing code, libraries, and application components, • Skilled in writing production‑grade code in Python, Node.js, Bash, PowerShell, or similar languages, focusing on data processing and backend development, • Experience using Docker for packaging applications and data-processing workloads, with exposure to containerized data services (ECS, EKS, etc.), • Comfortable developing and troubleshooting in Linux environments, • Solid understanding of key AWS data services and application primitives such as S3, EC2, Glue, EMR, Lambda, RDS, DynamoDB, CloudWatch, and VPC networking concepts, • Strong knowledge of AWS security and IAM as it relates to data pipelines, encryption (KMS), secure data access (IAM roles/policies), and audit controls, • Hands‑on experience with ETL, distributed compute, and big data frameworks such as Spark, Glue, Hadoop/EMR, Impala, or similar tooling, • Deep understanding of relational databases, SQL optimization, and application‑to‑database interaction patterns, • Familiarity with log analytics and observability platforms (Splunk, ELK, Prometheus, Grafana) as they relate to monitoring data pipelines and applications Candidate Profile: • Bachelor’s/Master's degree in computer science/engineering, operations research or related analytics areas welcome to apply, • 8+ years’ experience in AWS Data Engineering, preferably in Life Insurance but not mandatory, • Application development experience, • Team Management, • Superior analytical and problem solving skills, • Outstanding written and verbal communication skills, • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges, • Can understand cross cultural differences and can work with clients across the globe

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Gen AI Architect Experience Level: 7+ years Employment type: Full Time Location: Newark, NJ Job Summary: We are seeking an experienced Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. The ideal candidate will have deep expertise in designing autonomous AI systems that can collaborate, reason, and execute complex tasks with minimal human intervention. You will be responsible for creating scalable, robust agentic workflows using cutting-edge frameworks like CrewAI/Langraph, while ensuring enterprise-grade deployment on major cloud platforms. Roles & Responsibilities: Agentic System Architecture & Development: • Architect & Build Agentic Systems: Design and develop end-to-end multi-agent systems from scratch. You will create the foundational agent harnesses, define communication protocols, and build orchestration layers using frameworks like CrewAI, Langgraph, and AutoGen. Architectural decisions to ensure:, • Hierarchical and collaborative multi-agent structures with well-defined agent roles, responsibilities, and communication protocols, • Dynamic task decomposition, sophisticated tool integration, planning mechanisms (ReAct), and self-correction loops, • Develop state management systems and memory mechanisms for persistent agent interactions, • Engineer Advanced Agent Capabilities: Develop custom agent-tools and define specialized agent-skills that empower agents to perform complex, domain-specific tasks., • Pioneer Context Engineering: Implement advanced context engineering and memory systems to ensure agents maintain state, learn from interactions, and make informed decisions in dynamic environments., • Deploy Production-Grade Solutions: Own the deployment, scaling, and maintenance of robust, low-latency agentic systems on major cloud platforms (GCP, AWS, or Azure). You will implement best-in-class MLOps practices for monitoring, continuous integration/continuous deployment (CI/CD), and system reliability., • Integrate and Optimize LLMs: Integrate LLMs to serve as the core reasoning engines for autonomous agents. You will apply advanced techniques like RAG and PEFT to optimize performance. Tool Development & RAG Integration: • Create and maintain comprehensive tool libraries for agents including API integrations, database queries, and external service connections, • Design and implement RAG systems using vector databases (Pinecone, Weaviate, ChromaDB), • Develop custom tools and plugins that enable agents to interact with various enterprise systems and APIs, • Ensure tool reliability, error handling, and seamless integration within agentic workflows Observability, Monitoring & Evaluation: • Implement comprehensive monitoring and tracing systems for agent behavior, performance, cost optimization, and latency analysis, • Design novel evaluation frameworks to assess multi-step agentic task success, reliability, and accuracy, • Utilize advanced observability tools (LangSmith, Arize AI, or custom solutions) to trace agent decision making processes, • Establish metrics and KPIs for measuring agentic system performance in production environments Basic Qualifications: • 6-8 years of hands on experience in machine learning and AI engineering with proven track record of taking ML systems to production, • Demonstrated expertise in building multi-agent systems and agentic workflows, preferably with Langraph/CrewAI, • Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers). Experience with FastAPI, async programming, and microservices architecture, • Data & Vector Systems: Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems, • Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, Weights & Biases, custom telemetry solutions), • Proven ability to architect and implement complex AI systems from scratch in production environments, • Cloud Platform Expertise: Production-level experience with at least one major cloud platform (AWS, GCP, or Azure), including:, • Compute services (EC2, GCE, Azure VMs), • Serverless functions (Lambda, Cloud Functions, Azure Functions), • Container orchestration (EKS, GKE, AKS), • Managed AI/ML services (SageMaker, Vertex AI, Azure ML), • Production & DevOps: Strong skills in Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and containerization (Docker, Kubernetes) Other Qualifications: • Experience with prompt engineering techniques, fine-tuning SLMs (PEFT, SFT, RLHF), and model optimization, • Knowledge of distributed systems, message queues, and event-driven architectures for agent coordination, • Familiarity with SDLC best practices, version control (Git), and agile development methodologies, • Experience with tool-calling agents, multi-step workflows, and stateful orchestration (e.g. graphs, planners, routers)., • Hands-on evals for agents: trajectory / tool-use checks, golden traces, LLM-as-judge with fixed rubrics, regression suites., • Online evals, drift thinking, and clear quality gates before or after deploy (thresholds, alerts, rollback criteria)., • Safety and abuse: prompt injection via tools, untrusted retrieval, PII handling in prompts and logs, allowlists and guardrails., • Cost and latency discipline: budgets per run, timeouts, caps on turns and tool calls., • Model lifecycle: routing / gateway patterns, version pinning, fallbacks, and which model for which step., • Memory and state: what is persisted, retention, redaction, and what must never be stored What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

About LifeStation LifeStation is a mission-driven healthcare technology company providing personal safety and remote monitoring solutions for older adults. Founded in 2004 and headquartered in Union, New Jersey, LifeStation remains privately held and focused on transforming the lives of the rapidly growing senior population in the U.S. through personal emergency response systems (PERS) and other technology-enabled health services. Its in-home, mobile, and smartwatch-enabled solutions promote safety and independence for older adults while delivering actionable insights to caregivers and care teams to support continuity of care. LifeStation is now one of the largest providers of medical alert monitoring and technology services in the U.S., serving nearly one million older adults and their families with dependable, compassionate support. The opportunity LifeStation is hiring a Principal Product Manager to own the digital experiences used by our members and their caregivers, with primary responsibility for our mobile apps and web applications. This is a hands-on role for a product leader who knows how to create and launch consumer mobile products, learn from real user behavior, and turn that learning into sustained adoption and engagement. You will set product direction, lead discovery, translate customer and business needs into clear priorities, develop feature and functionality requirements and partner closely with design, software engineering, operations, marketing, customer service, and external development partners. The role reports to the Vice President of Product and Technology and is a hybrid position based in LifeStation’s Union, New Jersey office. Employees in this role are expected to work in the office at least three days per week What you will own • Own the product strategy, roadmap, and backlog for LifeStation's member and caregiver mobile and web experiences., • Lead the full product lifecycle from customer discovery and concept definition through development, launch, measurement, and continuous improvement., • Define clear outcomes and success metrics across activation, onboarding, feature adoption, engagement, retention, customer satisfaction, and support demand., • Build a strong understanding of older adults, caregivers, and families through interviews, usability testing, surveys, behavioral data, and customer-care feedback., • Monitor the competitive landscape and emerging practices in consumer health, aging, caregiving, and connected safety products., • Write clear product requirements, user stories, acceptance criteria, and release plans that give design and software engineering teams the context needed to solve problems well., • Collaborate with software engineering and quality assurance on testing, release readiness, and App Store and Google Play launches., • Use analytics and qualitative research to evaluate product performance, prioritize improvements, and communicate what is working and what needs to change., • Coordinate go-to-market and adoption efforts with marketing, sales, operations, fulfillment and customer service teams. What success looks like • Customers and caregivers can understand and complete key journeys with minimal friction or assistance., • New capabilities launch with clear goals, instrumentation, rollout plans, and measurable results., • Mobile and web usage grows because the product delivers real value to our customers, • Cross-functional partners understand the roadmap, the rationale behind priorities, and the outcomes the team is working toward. What you bring • 10+ years of hands-on product management experience, including a track record of launching mobile products or major features and improving adoption, engagement, or retention after launch., • Strong product judgment and the ability to balance customer value, business priorities, technical constraints, and speed., • Excellent written and verbal communication skills, including the ability to turn ambiguity into clear decisions and align technical and nontechnical stakeholders., • Technical fluency to discuss APIs, integrations, data flows, mobile release processes, and implementation tradeoffs without needing to be an engineer., • A practical, curious, and collaborative working style with a willingness to move between strategy and execution. Helpful experience • Experience developing customer-facing software experiences that interact with connected devices, wearables, IoT products, or other physical hardware., • Experience working with WordPress-powered websites, including content management, user experience, integrations, and collaboration with developers or external agencies., • Working with external product development partners or distributed engineering teams. Why join LifeStation • Competitive salary and comprehensive benefits package, • Entrepreneurial work environment with the freedom to get things done, • Chance to grow by working with an extremely talented team, • Make a true impact on our company and its services with high-visibility and possibilities for career growth, • Company outings, catered lunches, team building events and much more, • Excellent location close to highways, • Benefits and Perks, • Excellent Comprehensive Insurance Coverage, • 401(k) Retirement Savings Plan & Employer Match, • Gym/Fitness Program Reimbursement, • Access to Corporate Discounts, • Company Paid Life Insurance, • And much more… Compensation The anticipated base salary range for this position is $165,000 to $205,000, depending on experience, skills, and other job-related factors. This position is bonus eligible. We are committed to a diverse and inclusive workforce, one that reflects the varied communities we serve. The services we offer and the products we build greatly benefit from a range of perspectives, which can only come from diversity of all types at all levels of the organization. Achieving true diversity and inclusion is the right thing to do and is also the smart thing for our business. We strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply. We are an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

Job Description: Senior C++ Engineer New York City / Jersey City – 3days/week onsite salary : 180K – 200K 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. Responsibilities: Architectural Ownership: Take complete ownership of the architecture and evolution of the firm's next-generation market data platform. Design and implement a resilient, scalable, and exceptionally low-latency infrastructure capable of processing immense volumes of data from global equities exchanges. Performance Engineering Leadership: Drive the continuous optimization of our C++ market data feed handlers and distribution systems. Utilize advanced profiling, modern C++ techniques, and hardware-level tuning to push the boundaries of performance and minimize latency at every stage of the data lifecycle. Strategic Technical Direction: Define the technical roadmap and standards for market data technology across the Equities division. Lead research and development efforts into emerging technologies, network protocols, and hardware acceleration to maintain our competitive edge. Cross-Functional Partnership: Serve as the primary technical authority on market data, partnering closely with Quantitative Research, Algorithmic Trading Development, and Infrastructure teams to deliver robust, integrated solutions that meet the demanding needs of the business. Team Leadership and Mentorship: Lead a team of elite C++ engineers, fostering a culture of technical excellence, innovation, and accountability. Mentor senior and junior developers, conduct in-depth architectural and code reviews, and guide the team in solving the most complex engineering challenges. System Stability and Resilience: Guarantee the operational stability, accuracy, and resilience of the market data platform. Design and implement comprehensive monitoring, automated failover, and recovery mechanisms to ensure the system is robust, even under extreme market volatility. Risk and Control Management: Uphold the highest standards of risk management and regulatory compliance. Ensure all architectural and development decisions safeguard the firm's reputation and assets by adhering to internal policies and external regulations, managing and reporting control issues with complete transparency. 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.

Job Purpose The Industrial Engineer role is primarily responsible for company-wide continuous improvement initiatives. Key Responsibilities and Duties • Participates individually or on cross-functional teams focused on relentless continuous improvement and problem solving activities throughout the company. May require traveling to other locations., • Research, justify and implement cost saving projects that focus on safety, quality and sustainability., • Assist corporate Technical Services department with project creation and implementation., • Design, Integrate and maintain automated process data collection systems., • Design, Integrate and maintain automated alarming systems notifying the plant of down equipment., • Design, construct and install automation devices., • Responsible for continuous improvement initiatives in OEE, SMED, and sustainability., • Monitor equipment downtime and operator reports and lead Root Cause Analysis initiatives to eliminate downtime or equipment variation., • Assist with equipment troubleshooting, repair, installation, change-over, and PM as necessary., • Other duties as assigned. Experience, Educational and Technical Qualifications Preferred candidate has Associates degree in Technology, Electrical, Electronics, Electro-Mechanical or certification in a similar technical area. Must have excellent knowledge of SPC, plastics, electrical, electronic hydraulics, mechanical and pneumatic functions. Must have strong written and verbal communication skills and strong organizational and problem-solving skills. Must have and be able to demonstrate intermediate math skills. Must have ability to read blueprints and be able to use precision measuring/inspection equipment. Requires leadership and excellent interpersonal skills to provide training to team members and other department employees. #LI-BH1

Job Description POSITION: Control Systems Programmer REPORTS TO: VP of Technical Integration OBJECTIVE: Be a valuable member of Verrex and its Engineering Services Department in the overall Implementation of Verrex’s Mission, Vision and Strategy, enabling Verrex to continue to grow and expand its business. COMPENSATION: Salary, exempt (non-hourly), monthly cell phone stipend. BENEFITS: Verrex offers a comprehensive benefits package to support the health, well-being, and financial security of our employees. Benefits include: • Medical, dental, and vision insurance (VSP), • Company-sponsored 401(k) plan with matching contributions, • Company-paid life insurance and AD&D coverage ($50,000), • Long-term disability (LTD) insurance, • Optional supplemental life insurance available for purchase, • Healthcare and Dependent Care Flexible Spending Accounts (FSAs), • Access to AFLAC supplemental insurance products This benefits summary is intended as a general overview and is subject to the terms and conditions of the official plan documents. RESPONSIBILITIES: Primary Responsibilities: • Develop preliminary touch panel screen shots for new clients, with direction from the project team and then the client, to establish an approved design for the client., • Develop complete and functional system touch panel files and programs, working from a client approved GUI and system wiring drawings., • Work together with the Verrex Quality Assurance Department to debug code and support system testing, working towards a completely functional system before shipping to the field., • Provide on-site and remote support to field technicians and engineers for system commissioning when required for all Verrex offices., • Provide operational manuals and quick reference guides for projects., • Archiving source code, GUI designs and related material for future modifications., • Work with the project engineer and account executive in determining the control system hardware requirements for specific projects., • Work with Sales to properly estimate programming services and hours., • Provide programming support for the Verrex GMS technicians and GMS clients including system upgrades/adjustments. General Responsibilities: • Be a technical resource for other departments as required., • Conduct equipment research and testing on new and existing technology., • Interface with manufacturers when dealing with equipment problems., • Conduct programming and troubleshooting training for field techs, project engineers and others as requested., • Attend department meetings., • Attend manufacturer and industry training in-house, off premises, and online. Requirements: • Crestron certified programmer, • Extron Authorized Programmer, • 5+ years Commercial AV experience, • Strong troubleshooting, ability to logically assess flow of control/data/communication, debug, • Strong understanding of IP communications/Networking Nice To Have:, • C# (SIMPL #), • HTML5, graphical user interface development experience, • CTS This job description may be revised at any given time by Verrex Management. Employee Handbook Please refer to the Verrex Employee Handbook for company policies on such issues as employment wages, salary, benefits, services, reimbursable expenses, employee communications, safety, health, standards of conduct, and corrective action. Equal Opportunity Employer Statement Verrex is proud to be an equal opportunity employer. We are committed to creating an inclusive, respectful workplace where everyone can thrive.

Jacobs Levy Equity Management, an institutional asset manager located in Florham Park, NJ, is seeking a motivated Quantitative Data Engineer to enhance our proprietary quantitative investment systems. Be part of a team that leads our future. You will be a key player on the Technology team and will research, design, code, test and deploy models. The Quantitative Data Engineer will also support daily trading operations and work closely with quantitative research and portfolio management professionals to implement new ideas. Responsibilities Include: • Implement, enhance, and manage quantitative models for equity markets, frequently working with quantitative researchers on new ideas, • Design and improve proprietary data repository and financial data platforms, • Automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors Position Qualifications: • MS/PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials, • 3+ years of production experience developing in Python, • Proficiency in SQL, stored procedures, and database concepts, preferably with Microsoft SQL Server, • Familiarity with financial equity data, particularly Bloomberg, LSEG, Compustat, and CapIQ, • Experience in processing large and complex datasets, • An advanced knowledge of math and statistics and good problem-solving skills, • Strong communication skills and ability to collaborate across teams When determining the actual base salary offered to successful candidates, various factors will be considered, including but not limited to, the candidate’s relevant experience, skills, and qualifications for the role, as well as level of education attained, certifications, and other professional licenses held. The salary may also depend on whether the role includes managerial responsibilities. The expected base salary for this position is $150,000-$250,000. In addition to base salary, benefits include discretionary bonus plans, health, dental and other wellness plans, contributions to profit-sharing and 401(k) plan, paid time off, and more.

JOB DESCRIPTION We are seeking a highly technical, hands-on Sr. Gen AI Engineer / Lead Gen AI Engineer to drive the design, development, and deployment of production-grade Generative AI applications. In this dual-impact role, you will act as a primary individual contributor architecting core AI engines while simultaneously leading engineers through task allocation, code reviews, and technical mentorship. The ideal candidate bridges the gap between state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and production-grade full-stack engineering (Python, FastAPI, React). Key Responsibilities: • Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered applications, multi-agent workflows (e.g., CrewAI, AutoGen, LangGraph), and autonomous AI agents., • RAG & Document Intelligence: Design and deploy advanced RAG architectures and document processing pipelines utilizing OCR techniques (e.g., LayoutLM, PaddleOCR, Tesseract, Azure Document Intelligence) and Vision LLMs to extract structured data., • Backend Microservices: Build robust, asynchronous, high-throughput microservices and RESTful APIs using Python and FastAPI., • Frontend Integration: Collaborate on or build modern web interfaces using React (e.g., Control Towers, operations dashboards, interactive chat interfaces)., • MLOps & Infrastructure: Oversee model deployment, prompt engineering, fine-tuning, vector database integration (Pinecone, Qdrant, Chroma, PGVector), and cloud infrastructure setup (Azure/AWS)., • Technical Oversight: Lead a team of AI, backend, and full-stack engineers; allocate tasks, establish sprint priorities, and ensure timely delivery., • Conduct rigorous code reviews: To maintain high engineering standards, security, performance, and scalability across AI and full-stack codebases. Key Qualifications & Skills • Overall Experience: 6 to 12 years of professional software engineering experience., • AI/ML Domain Experience: 3+ years of dedicated, hands-on experience building and deploying AI/ML, OCR, and Generative AI solutions in production., • Core Technical Stack:, • Generative AI & LLMs: Extensive experience with commercial and open-source LLMs (OpenAI, Anthropic Claude, Llama), Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), and LLM evaluation frameworks (LangSmith, TruLens, RAGAS)., • RAG & Unstructured Data: Strong knowledge of hybrid search, re-ranking, chunking strategies, vector databases, and document intelligence workflows., • OCR & Vision Techniques: Hands-on experience with OCR engines (Tesseract, PaddleOCR, Azure Document Intelligence) and Multi-Modal/Vision LLMs., • Backend: Deep expertise in Python and asynchronous frameworks (FastAPI, AsyncIO)., • Frontend: Working proficiency in React (TypeScript/JavaScript) for building interactive web UI components., • Cloud & DevOps: Hands-on experience with cloud platforms (Azure / AWS), Docker, Kubernetes, and CI/CD pipelines.

Job Description JOB TITLE: Senior Cybersecurity Engineer JOB OVERVIEW Department: Information Technology Reports to: Cybersecurity Office Manager, OT Infrastructure Safety Location: New York, NY 10004 Job Type: Contract [NO BENEFITS] Hours: 9:00 AM – 5:30 PM (7.5 hours per day) or as required JOB SUMMARY This position provides technical expertise in managing and analyzing cybersecurity risks. The engineer designs, builds and maintains the infrastructure and application technology that supports a secure cybersecurity posture. This includes systems that directly support cybersecurity and systems that support business operations across Information Technology and Operational Technology. Building and configuring systems securely from the outset reduces organizational risk. These systems include applications, infrastructure, wireless, carrier systems, cloud, operational technology and IoT. Specialized skills across technology domains help reduce overall risk. Configuration, hardening, guidance, response and analysis of these systems reduce and contain cybersecurity risk. The work involves risk assessments, data analytics tools, operational process reviews, and collaboration with security engineers, architects, developers, vendors and business units to continually improve security. The position has seven levels, including an internship level, based on progressive experience, accomplishments, responsibilities and/or education. Depending on level, the engineer may perform all or some of the responsibilities below. RESPONSIBILITIES Threat Research and Analysis • Research emerging threats and vulnerabilities to help identify network incidents and support new architecture, policies, standards and guidance., • Monitor relevant information sources to stay current on attacks and trends., • Monitor threat intelligence feeds to identify threats, including indicators of compromise and advanced persistent threats (APTs)., • Identify the tactics, techniques and procedures (TTPs) of potential threats using MITRE ATT&CK or similar frameworks., • Hypothesize new threats and indicators of compromise., • Analyze the potential impact of new threats and communicate risks to detection analysts, architects, technology subject matter experts and management., • Use judgment to form conclusions that may challenge conventional wisdom. Secure Design, Configuration and Hardening • Apply secure system configuration and hardening standards in practice., • Design, configure and integrate secure solutions in the assigned technology domains., • Install, configure, harden and optimize infrastructure, application and security components and systems, such as:, • Servers, workstations and mobile devices, • Directory services, operating systems and middleware, • IoT devices, • Web and next-generation firewalls, • Machine and human behavior learning tools, • Host-based security systems, • Security event and incident monitoring systems, • Virtual, physical and cloud platforms, • Identify configuration gaps independently and/or with vendors to reduce cybersecurity risk., • Test new systems, and manage cybersecurity risks and remediation, system testing, baselines and best practices. Incident Response • Respond to computer security incidents according to the incident response policy and procedures., • Provide incident response support, including mitigating actions to contain activity, facilitating forensic analysis, system hardening and recovery when necessary., • Provide technical guidance to first responders handling information security incidents., • Review alerts and sensor data, and document formal technical incident reports., • Perform root-cause analysis, document findings and take part in root-cause elimination as required., • Validate and maintain incident response plans and processes to address potential threats. Reporting and Communication • Provide timely, relevant updates to stakeholders and decision makers., • Communicate investigation findings to business units to help improve the security posture., • Compile and analyze data for management reporting and metrics. Policy and Documentation • Take part in creating enterprise security documents (policies, standards, baselines, guidelines and procedures) under the direction of the IT Security Manager, where appropriate. Contractor Oversight (as applicable) • Observe the work performed by contractors., • Review invoices and approve them if the work meets contractual standards., • Address performance issues with contractors when possible., • Escalate issues to other parties when needed. General • Perform other duties as assigned., • Comply with all policies and standards., • Work hours outside regular hours when required. QUALIFICATIONS • Bachelor’s degree in Arts or Sciences (BA/BS). A combination of education and experience may be considered in lieu of a degree., • Minimum of 10 years of relevant technology-based or cybersecurity experience, or experience in a specific cybersecurity subdomain (cloud, applications, infrastructure, security technology, etc.)., • Minimum of 5 years of experience, as stated in the original posting., • At least two professional certifications in the subject domain. Examples include, but are not limited to:, • Certified Information Systems Security Professional (CISSP), • Global Information Assurance Certification (GIAC), • Certified Information Security Manager (CISM), • Certified in Risk and Information Systems Control (CRISC), • Certified Information Systems Auditor (CISA), • Other related certifications REQUIRED KNOWLEDGE, SKILLS AND ABILITIES Core Technical Expertise • Significant practical expertise in cybersecurity-related disciplines., • Seasoned expertise in multiple security domains and technologies., • Strong understanding of current and future technology and security architecture, including the interoperability of security solutions., • Proven track record of implementing architectural designs., • Proven track record in configuring and hardening systems., • Expert ability to conduct and analyze security risk assessments., • Expert understanding of TCP/IP (OSI Layers 1–4) and Internet and intranet technologies (OSI Layers 5–7)., • Scripting or programming skills (Perl, Python, PowerShell, etc.) are preferred as needed., • Practical knowledge of secure system configuration and hardening standards., • Skill in all the threat research, secure design, incident response, reporting and documentation activities listed under Responsibilities. Proactive Security and Technical Leadership • Take a proactive approach to cybersecurity while also investigating security incidents related to cybersecurity., • Act as a technical resource for multiple technologies, with deep knowledge of their capabilities and constraints, to improve system effectiveness and efficiency., • Provide guidance and training to the IT community to share learning., • Analyze cross-technology and cross-platform issues, factoring in current and future architectures to ensure performance and reliability., • Establish systems to monitor compliance with architectural standards and ensure technical integrity. Technology Evaluation and Planning • Lead the evaluation of new technologies in the assigned domains to determine how well they meet the needs of the organization and its affiliated agencies., • Propose technology investments supported by technical analysis and a business case., • Develop disaster recovery and contingency plans for the assigned domains to minimize service interruptions. Vendor and Procurement Management • Create complete RFPs and RFIs., • Negotiate contract terms and conditions with vendors and procurement, considering business needs., • Work with major providers at the technical expert level to resolve mission-critical issues., • Evaluate ongoing vendor service levels and enforce SLAs and penalties. CRITICAL SKILLS • Serve as a multi-technology technical authority with expert knowledge of OT, security architecture and cross-system interoperability., • Shape long-term technology strategy, ensuring secure integration of enterprise and operational systems., • Provide specialized guidance, mentorship and training across the IT and OT security community., • Evaluate emerging technologies, identifying applicability, operational risks and strategic impact, and develop technical business cases for investment., • Develop domain-specific disaster recovery and resilience strategies to minimize service interruptions., • Author comprehensive technical procurement documents (RFPs/RFIs) and lead contract discussions with vendors and procurement teams., • Engage at the expert level with major service providers, manage mission-critical issues and enforce technical service level commitments., • Establish compliance monitoring systems to ensure alignment with architectural standards and security best practices., • Oversee project performance, review deliverables and escalate issues as appropriate. COMPETENCIES Expert level: • Technical Skills: Specialized knowledge and expertise in the tools, programs, domains, platforms and products used for specific tasks., • Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications., • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences., • Values Diversity: Recognizing the value that different perspectives and cultures bring to an organization., • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Advanced level: • Customer Focus: Building strong customer relationships and delivering customer-centric solutions., • Cultivates Innovation: Creating new and better ways for the organization to be successful.

Job Description: Grignard Company is seeking a motivated and dynamic Business Development Representative to join our Industrial team. The ideal candidate will be responsible for cold calling, prospecting, building relationships with new and existing customers, and contributing to the overall growth of the company. This position focuses on industrial chemical manufacturing and industrial applications within Water & Wastewater, Wire Rope & Lubrication, Mining & Mineral Processing, Food & Beverage Manufacturing, Offshore & Marine, Oil & Gas, and Industrial Processing & Manufacturing. Primary Responsibilities • Identify and develop new business through outbound prospecting — cold calling, email, LinkedIn, networking, trade shows, and referrals., • Research target accounts and identify key decision-makers (engineers, plant and maintenance managers, procurement, municipal utilities, contractors, OEMs, and distributors)., • Qualify inbound and outbound leads on strategic fit, project potential, and customer need, and maintain a consistent outreach cadence to grow pipeline., • Travel to customer sites, trade shows, and industry events to schedule and conduct introductory meetings for sales managers and technical sales reps, and coordinate presentations, lunch-and-learns, and follow-ups., • Promote company products and capabilities, and support strategic account penetration and specification development., • Partner with Industrial Solutions Representatives and Sales Managers to hand off qualified opportunities into active pipeline., • Assist with proposal development, quotation follow-up, and customer communication., • Manage all prospecting activity in the CRM daily — leads, opportunities, interactions, and account data — and generate activity and pipeline reports for management. Required Qualifications • Proven experience in business development, inside sales, B2B sales, lead generation, or customer development., • 5+ years’ experience within industrial, manufacturing, chemical, infrastructure, or technical industries preferred., • Strong prospecting and cold-calling abilities., • Excellent verbal and written communication skills., • Strong organizational and time-management skills., • Experience using CRM software. Zoho CRM preferred., • Proficient in Microsoft Office Suite., • Ability to travel periodically for customer visits, trade shows, and meetings. Career Path Opportunities • Territory Account Manager, • Technical Sales Engineer, • Business Development Manager, • National Account Manager What We Offer: • $55-$65K base salary plus bonus structure, • Comprehensive benefits package, including health, and vision insurance., • 401(k) plan, • Opportunities for professional development and career advancement., • A collaborative and supportive work environment. Grignard Company, LLC is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Release Train Engineer (RTE) / Scrum Master Location: Hybrid – Financial Services Environment Duration: Long-Term / Ongoing Need Overview We are seeking a true hybrid Release Train Engineer (RTE) / Scrum Master to support an ongoing initiative within a Sales & Research Technology organization supporting business areas related to Equities and Fixed Income. This individual will operate in a dual capacity—facilitating Scrum ceremonies for individual teams while also coordinating delivery, dependencies, risks, and execution across multiple Agile teams and stakeholders. The ideal candidate will possess strong communication and leadership skills, deep Agile experience, and a solid understanding of capital markets, specifically Equities and Fixed Income products and workflows. Profile Types We Are Searching For Target Titles: • Release Train Engineer (RTE), • Senior Scrum Master, • Agile Program Manager, • Agile Delivery Lead, • Scrum Master / RTE, • Technical Program Manager – Agile Delivery Typical Backgrounds: • Scrum Masters who progressed into RTE responsibilities, • Agile Delivery Leads supporting front-office technology organizations, • RTEs supporting trading, sales, research, market data, or capital markets technology teams Preferred Industry Experience: • Investment Banking, • Capital Markets, • Equities Trading Technology, • Fixed Income Technology, • Sales & Research Platforms What This Person Will Be Doing • Serve in a 50% Scrum Master / 50% Release Train Engineer capacity, • Facilitate Agile ceremonies including sprint planning, standups, retrospectives, backlog refinement, and program increment activities, • Coordinate delivery across multiple teams, managing dependencies, risks, impediments, and execution timelines, • Partner with technology leaders, product owners, business stakeholders, and development teams, • Drive Agile best practices and improve team maturity and delivery processes, • Track work, metrics, risks, and milestones using JIRA and Agile reporting tools, • Support planning and execution within a fast-paced front-office technology environment, • Provide transparency into program status, delivery progress, and cross-team coordination Required Skills & Experience • 8–10+ years of experience as a Scrum Master, Agile Lead, RTE, or Agile Delivery professional, • Experience operating in both Scrum Master and Release Train Engineer roles, • Strong understanding of Agile frameworks, ceremonies, and scaling methodologies, • Hands-on experience using JIRA for backlog management, reporting, dependency tracking, and Agile metrics, • Exceptional communication, facilitation, and stakeholder management skills, • Experience coordinating multiple Agile teams and managing cross-team dependencies, • General understanding of Equities and Fixed Income products, workflows, or technology environments, • Experience supporting front-office, sales, trading, research, or capital markets technology teams Nice-to-Have Skills • Prior experience in Banking or Financial Services environment, • Scrum Alliance or SAFe certifications (CSM, SAFe Scrum Master, SAFe RTE, SPC), • Experience within large enterprise financial institutions, • Exposure to Program Increment (PI) planning and SAFe methodologies

Job Title: Gen AI Engineer Duration: 18 Month W2 Contract Location: Jersey City | NYC Required Pay Scale: $60-$68/hour Job Description: Senior Python Developer / AI Engineer – GenAI Platform Role OverviewWe are seeking a highly skilled Senior Python Developer / AI Engineer to design, develop, and implement a GenAI platform and associated business use cases. This role is primarily focused on strong software engineering, hands-on Python development, and building production-ready applications that integrate AI-powered solutions. The ideal candidate will have 7+ years of professional Python development experience, strong software engineering fundamentals, and the ability to independently write high-quality code without relying on AI assistance during technical assessments. A deep understanding of AI theory is not required; familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration concepts is beneficial. Candidates must demonstrate strong problem-solving, critical-thinking, and independent engineering skills. Production-grade software development expertise is the top priority, with AI-specific knowledge considered a secondary skill that can be developed on the job. Key Responsibilities • Design, develop, and oversee the end-to-end implementation of the GenAI platform and related business use cases., • Build scalable, resilient, maintainable, and reusable application architectures., • Develop production-ready Python applications and integrate AI-powered solutions into business workflows., • Design and implement software integration solutions involving AI platforms, applications, and supporting infrastructure., • Lead technical delivery and collaborate with cross-functional teams to deliver high-quality solutions., • Drive Software Development Life Cycle (SDLC) automation and initiatives focused on platform performance, scalability, and resiliency., • Research, prototype, and evaluate emerging AI technologies and potential solutions., • Apply software engineering best practices for code quality, architecture, error handling, testing, and production support., • Mentor team members on software design, coding standards, and development best practices. Required Qualifications • 7+ years of professional Python development experience. Internships do not count toward the required experience., • Strong hands-on coding skills and the ability to develop solutions independently without AI assistance., • Strong understanding of Python fundamentals, including data structures, error handling, and application architecture., • Demonstrated experience developing, deploying, and maintaining production-grade applications., • Experience building APIs and backend services using FastAPI., • Experience with Unix/Linux environments and scripting., • Experience working with relational and NoSQL databases., • Strong problem-solving, analytical, and critical-thinking skills., • Ability to work independently and thrive in a fast-paced, collaborative environment., • Strong understanding of software development best practices, including writing clean, maintainable, scalable, and reliable code. Preferred Qualifications – AI / GenAIThe following skills are beneficial but are not mandatory. Conceptual knowledge is acceptable where hands-on implementation experience is limited. • Understanding of Large Language Model (LLM) concepts and AI-powered application development., • Familiarity with Retrieval-Augmented Generation (RAG), including retrieval patterns and orchestration concepts., • Knowledge of agentic AI and multi-agent systems., • Familiarity with Google Agent Development Kit (ADK)., • Understanding of Model Context Protocol (MCP)., • Knowledge of event-driven agent workflows and orchestration patterns., • Exposure to machine learning frameworks such as TensorFlow or PyTorch., • Experience prototyping or integrating AI technologies into production applications. Ideal Candidate ProfileThe successful candidate will be a hands-on engineer who combines strong Python development expertise with sound software design principles and practical problem-solving ability. The ideal candidate will demonstrate: • The ability to independently design, code, troubleshoot, and deliver production-ready applications., • Strong software engineering fundamentals and sound architectural judgment., • Critical thinking and the ability to solve complex technical problems., • A builder mindset with a focus on implementation, integration, and delivery., • Adaptability and the ability to learn emerging AI technologies as needed., • Effective collaboration and communication skills when working across technical teams. Important Hiring Considerations • Python engineering fundamentals are the highest priority. Candidates must have strong hands-on development experience and proven coding ability., • Independent coding is essential. Candidates should be able to demonstrate their technical skills without relying on AI tools during interviews or technical assessments., • Production experience is required. Candidates should have experience building and maintaining real-world applications, not just prototypes or proof-of-concepts., • Deep AI expertise is not required. Basic LLM knowledge and an understanding of RAG, retrieval, and orchestration concepts are sufficient., • Advanced AI technologies are a plus. Agentic AI, multi-agent systems, Google ADK, MCP, and event-driven workflows are desirable but not required., • Strong engineers take precedence over AI specialists. Candidates with extensive AI knowledge but weak Python fundamentals, software architecture, or production engineering experience are not a fit. Experience RequirementMinimum: 7+ years of professional Python development experience, excluding internships. Primary focus: Python engineering, production-grade application development, software architecture, and API development. Secondary focus: GenAI platform integration, LLM concepts, RAG, and AI orchestration. About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage), • 401(k) plan (employee contributions only)

Overview We are seeking a technical relationship builder who creates and grows capital-equipment sales opportunities. Travel: 20-30%; primarily U.S. and mostly air. Growth path: Sales or division leadership potential. About the Role The Sales Engineer is responsible for developing new and existing customer relationships for our medical-device manufacturing equipment and medical-device packaging solutions. This is a technical capital-equipment sales role requiring both hunter and farmer capabilities: creating new opportunities, developing our established customer and prospect database, visiting customers, and expanding relationships by understanding how customers manufacture and package their products. The role is on-site when not traveling and is designed for a technically curious, service-minded seller who can grow into broader sales or division leadership. Responsibilities • New-business development. Proactively identify, contact, and develop prospective customers through our database, referrals, marketing leads, trade shows, targeted outreach, and market research., • Account growth. Maintain and deepen relationships with existing customers, including equipment-anniversary outreach, application reviews, site visits, and discovery of additional needs., • Technical discovery. Learn how customers manufacture and package their products; ask effective questions; connect customer problems to appropriate our capabilities and solutions., • Customer visits and travel. Travel throughout the United States for customer meetings, facility visits, demonstrations, trade shows, and opportunity development. International travel may occur occasionally., • Opportunity management. Qualify opportunities, establish next steps, coordinate resources, maintain momentum through long capital-equipment sales cycles, and communicate realistic forecasts., • Proposal coordination. Work with Applications Engineering, Sales Support, Engineering, and Costing to develop accurate quotations and presentations; explain scope, options, tradeoffs, and value to the customer., • Relationship stewardship. Follow through consistently, serve customers honestly, and pursue solutions that genuinely help rather than selling unnecessary options., • CRM discipline. Maintain complete contact, activity, opportunity, quote, forecast, and follow-up information; use CRM reports and customer history to plan outreach., • Digital selling. Lead effective Microsoft Teams meetings, share drawings and documents, communicate professionally by phone and email, and use modern sales and collaboration tools independently., • Cross-functional coordination. Work with Applications Engineering, Engineering, Service, Operations, Marketing, and leadership to align customer needs with our capabilities., • Market feedback. Report customer trends, competitor activity, emerging applications, and product opportunities that may support future growth. Qualifications • 3 + years of successful technical, industrial, automation, capital-equipment, or closely related B2B sales experience., • Demonstrated success developing new business and maintaining long-term customer relationships; must enjoy both hunting and farming activities., • Strong mechanical and technical aptitude with the ability to learn equipment, manufacturing processes, and customer terminology quickly., • Ability to discover customer needs, connect technical problems to solutions, and communicate value without overselling., • Willingness and ability to travel approximately 20-30%, primarily by air within the United States, based on customer and trade-show needs., • Proficiency with CRM systems, Microsoft Teams, digital presentations, shared files, email, and standard business software., • Strong communication, presentation, listening, organization, persistence, and independent follow-through skills., • Ability to work on-site in Morristown, New Jersey, when not traveling. Relocation is considered only for exceptional candidates. Required Skills • Selling custom machinery, automation, industrial equipment, packaging systems, or machine-control solutions with multi-month sales cycles and order values from approximately $30,000 to $1 million., • Experience with medical-device manufacturers, machine builders, system integrators, or regulated manufacturing environments., • Engineering or related technical degree; equivalent technical sales success may be considered., • Experience in an ISO 9001 quality management system and a structured operating system such as EOS. Preferred Skills • Develop enough mechanical and product knowledge to discuss our equipment and customer applications with confidence and know when to involve technical support., • Demonstrate the ability to connect with people, use the CRM, pursue opportunities consistently, travel willingly, and represent our service-centered culture.. Opportunity Statement The Sales Engineer must demonstrate our core values in daily decisions and relationships: Serving Others, Determination, Integrity, Constant Improvement, and Insightfulness. Success requires caring about customers and our colleague members as much as achieving sales results. Work Environment and General Statement This position works in office, manufacturing, customer, and trade-show environments. The employee must be able to travel, safely enter production areas, observe machinery in operation, and use required personal protective equipment. Reasonable accommodations may be made to enable qualified individuals to perform the essential functions.

Required Skills & Experience • Bachelor's Degree in Packaging Sciences or Engineering or a related engineering field, • 5+ years of manufacturing industry experience, • Experience writing Protocols, • Packaging Component Experience Job Description Our Large Consumer Manufacturing Client is seeking a Package Engineer to join their team in Fort Washington, PA. This individual will be expected to be onsite a minimum of 2 days a week. The Packaging Engineer is responsible for providing technical support in the area of design, development, testing and production scale-up of new package development while collaborating with research and development, marketing, market research, supply chain, process excellence, and other affiliated departments to identify and address packaging needs. They will be develop, write, gain cross-functional alignment, and route for approval package development documentation that captures the above end-to-end project specific information. Some examples of documentations would include Package Component Specifications, Package Development Assessment and Plan documents, Packaging Line Trial Protocols and Reports, Package Development Reports, etc. They will lead the development and assessment of the following types of information to support package development and life cycle management initiatives, including but not limited to the following activities: design requirements, definition of the scope of change, packaging and equipment solution proposals, prior knowledge and knowledge gap assessments, risk assessments, test plans, and test results analysis and conclusions. Compensation: $45-50/hr Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k)-retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.

About the Company Princeton Critical Minerals Inc (PCM) is a Princeton University spinout developing breakthrough technologies to enable sustainable extraction of lithium and other critical minerals. Our mission is to increase global mineral supply while minimizing water use, energy consumption, and environmental impact. We operate at the intersection of materials science, chemical engineering, and field-scale deployment, with active pilot programs in the U.S. and internationally. About the Role We are seeking a highly motivated Chemical Engineer or Chemist to join our team and help develop innovative, cost-effective solutions for mineral extraction from brine resources. This role spans lab research, pilot testing, and field deployment, with direct impact on scaling next-generation extraction technologies. Responsibilities • Design and develop materials, coatings, and chemical processes to enhance mineral extraction efficiency from brine systems, • Plan and execute laboratory experiments and field trials independently, including pilot-scale testing, • Analyze experimental data and translate findings into actionable process improvements, • Develop and maintain technical documentation, SOPs, and operational protocols, • Support product validation and performance benchmarking in real-world environments, • Collaborate on sensor integration, data analysis, and process monitoring systems, • Participate in technical reviews and contribute to engineering design decisions, • Communicate results and insights to internal teams, partners, and customers Qualifications • Bachelor’s, Master’s, or PhD in Chemical Engineering, Chemistry, Environmental Engineering, Geoscience, or related field, • Strong foundation in process engineering, brine chemistry, and materials science, • Experience with experimental design, data analysis, and process optimization, • Familiarity with process simulation tools, sensor systems, or data analytics platforms is a plus, • Experience in field work, pilot systems, or industrial environments preferred, • Strong written and verbal communication skills (English required; Spanish is a plus), • Hands-on, problem-solving mindset with the ability to work in fast-paced, multidisciplinary teams, • Willingness to travel to field sites (U.S. and international) as needed PCM Inc. is an equal opportunity employer committed to building a diverse and inclusive team.

We are seeking a highly skilled Senior Python Developer to join a leading hedge fund's technology team. This individual will work closely with portfolio managers, quantitative researchers, traders, and risk professionals to design and develop high-performance applications supporting investment strategies, portfolio analytics, trading, and risk management. The ideal candidate is a strong hands-on Python engineer with experience building production-grade systems in a fast-paced financial environment. This is a software engineering role rather than a pure quantitative research position. Key Responsibilities • Design, develop, and maintain scalable Python applications supporting front-office trading, portfolio management, and investment analytics., • Partner directly with portfolio managers, traders, and quantitative researchers to translate business requirements into robust technical solutions., • Build and enhance trading infrastructure, portfolio analytics platforms, and real-time market data processing systems., • Develop data pipelines to ingest, normalize, and process large volumes of market, reference, and alternative data., • Build tools supporting P&L calculations, risk analytics, position management, and portfolio exposure monitoring., • Develop RESTful APIs, microservices, and distributed applications that integrate with trading and investment platforms., • Optimize application performance, improve processing efficiency, and troubleshoot production issues., • Work with relational and NoSQL databases to support high-volume financial data processing., • Collaborate with infrastructure, DevOps, and data engineering teams to improve system reliability, automation, and deployment processes., • Participate in architecture discussions, code reviews, testing, and continuous improvement initiatives., • Take ownership of applications throughout the full software development lifecycle. Required Qualifications • 5+ years of professional software engineering experience with strong hands-on Python development., • Strong understanding of object-oriented programming, data structures, algorithms, and software design principles., • Experience developing production-grade backend applications, APIs, and data processing systems., • Strong SQL skills and experience with relational databases such as PostgreSQL, SQL Server, or Oracle., • Experience with Python libraries and frameworks such as Pandas, NumPy, FastAPI, Flask, or Django., • Familiarity with multithreading, multiprocessing, asynchronous programming, and performance optimization., • Experience with Linux environments, Git, automated testing, and CI/CD pipelines., • Strong problem-solving skills and the ability to work directly with business stakeholders., • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Preferred Qualifications • Previous experience at a hedge fund, asset manager, investment bank, proprietary trading firm, or financial technology company., • Understanding of equities, fixed income, derivatives, or other financial instruments., • Experience supporting front-office trading systems, portfolio management, risk analytics, or P&L platforms., • Knowledge of market data providers such as Bloomberg, Refinitiv, or FactSet., • Experience with Kafka, Redis, Spark, Airflow, or other distributed data technologies., • Familiarity with AWS, Docker, Kubernetes, and cloud-based infrastructure., • Exposure to quantitative research workflows, backtesting, or systematic investment strategies., • Experience working in a high-performance, business-facing engineering environment. Ideal Candidate A hands-on Python engineer who enjoys solving complex technical problems and working closely with investment professionals. The successful candidate will combine strong software engineering fundamentals with an understanding of financial markets and the ability to deliver reliable, scalable applications in a demanding hedge fund environment.

We are looking for someone to join the team and help us accelerate the adoption of Artificial Intelligence across Compliance and Non-Financial Risk at BBVA. As AI Transformation Lead – Compliance & Non-Financial Risk, you will work alongside Compliance and Risk teams to discover how Generative AI, agentic AI, advanced analytics and automation can strengthen the way we identify, assess, monitor and manage compliance and non-financial risks. Your mission will be to connect business, Compliance and risk management needs with what AI can now make possible, helping teams move from opportunity identification through prototyping, controlled implementation, adoption and measurable value. We are looking for someone who can connect Compliance and Risk challenges, AI capabilities and transformation, bringing together the right people to turn ideas into practical solutions. In your day-to-day • You will work closely with teams across Compliance and Non-Financial Risk to understand their processes, challenges and control needs, and identify concrete opportunities where AI can improve risk identification, analysis, monitoring, controls and decision-making., • You will design, build and test AI-enabled solutions together with subject-matter experts, leveraging BBVA's available AI capabilities and platforms., • You will assess the value and feasibility of different opportunities, identifying the information, data, applications, integrations, governance requirements and other dependencies needed to make them successful., • You will bring together teams across Compliance, Non-Financial Risk, Technology, Data, Model Risk, Information Security, Privacy, Legal and other disciplines to move promising ideas from use case → prototype → controlled implementation → measurable value., • You will develop prototypes, test them with users and iterate based on their feedback until they become genuinely useful solutions., • You will help teams adopt these capabilities and integrate them effectively into their existing processes, controls and ways of working., • You will identify opportunities to create reusable AI capabilities that can address similar needs across different teams rather than building isolated point solutions., • You will translate developments in AI into practical opportunities for Compliance and Non-Financial Risk, helping teams understand both what the technology can do and where its limitations lie., • You will share good practices, ways of working and lessons learned, helping strengthen AI capabilities across the Compliance and Risk community., • You will promote the responsible, secure and controlled use of AI, aligned with BBVA's governance, information-protection, risk-management and control frameworks. The opportunities are broad and will continue to evolve. They could include areas such as regulatory intelligence and regulatory change, Compliance and Non-Financial Risk assessments, AML and Sanctions analysis, monitoring and testing, AI-powered knowledge and research, management information and executive reporting, KRIs and KPIs, issue and emerging-risk analysis, policy and control-gap analysis, and automation of information-intensive processes. They could also include new agentic workflows that augment the capabilities of Compliance and Non-Financial Risk teams. These are examples rather than a predefined roadmap. An important part of the role will be discovering new opportunities together with the teams and determining where AI can create the greatest value while maintaining appropriate controls. What are we looking for? This is a highly practical and cross-functional role. We are looking for someone who enjoys understanding complex regulatory and control problems, challenging how things are done today, experimenting, building solutions and helping teams adopt new ways of working. You do not need to be a software engineer or a career Compliance specialist. You do need to be interested in Compliance, risk management and the control environment of a financial institution, and comfortable learning new areas of the domain quickly. If you are passionate about AI, follow its evolution closely and naturally find yourself thinking “How could we apply this across Compliance and Non-Financial Risk at BBVA?”, this role could be for you. You should be able to listen to business or control problems, understand the underlying need and translate it into a practical solution. This requires moving comfortably between regulatory and business context, AI and technology, data, processes and controls, while working with both technical and non-technical stakeholders. You should also be comfortable operating where not all the answers are known in advance. Curiosity, autonomy, pragmatism and the ability to make progress through ambiguity will be essential. We are looking for a strong team player who enjoys working across organizational boundaries, sharing knowledge and learning from others. Collaboration will be fundamental to making the transformation successful. In return, you will have the opportunity to work at the intersection of AI, Compliance and transformation at BBVA, experimenting with emerging capabilities and turning them into solutions with visible impact. Responsible AI AI-enabled solutions must be useful while meeting the governance, control and accountability standards expected of a financial institution. You will work with the relevant teams to ensure that AI capabilities are designed and implemented with appropriate consideration for information protection, privacy, security, accuracy, testing, explainability, human oversight, traceability, model risk and regulatory accountability. This includes understanding where AI can appropriately support and augment professional judgment, where human review and oversight remain necessary, and how solutions can be implemented in a controlled and sustainable way. The objective is to help BBVA achieve better risk identification, stronger and more effective controls, greater analytical coverage, better information and insights, faster and simpler processes, and meaningful productivity improvements across Compliance and Non-Financial Risk. If your instinct when looking at a complex Compliance or Risk process is “There has to be a smarter way to do this,” this may be the role for you. Experience and knowledge • Bachelor’s Degree required, • 5+ years experience in Compliance, Risk, strategy, transformation, business, technology, data, analytics, automation or process improvement., • Hands-on experience using Generative AI to solve real business problems, including identifying use cases, developing prototypes, testing solutions with users and iterating based on feedback., • Strong knowledge of the evolving AI landscape, particularly OpenAI and Google's enterprise AI ecosystems and their agentic capabilities, including ChatGPT Work, Gemini Enterprise and Google Flows., • Good understanding of prompting, AI assistants and agents, workflow automation, knowledge-based AI solutions, and how AI can connect with enterprise information and applications., • Ability to assess opportunities from both a value and feasibility perspective, identifying relevant technology, data, security, governance and operational dependencies., • Experience working across different areas and bringing together stakeholders with different expertise and priorities., • Knowledge of BBVA, its organization, culture and ways of working is a plus. Personal capabilities • Genuine passion for AI and curiosity about its rapidly evolving possibilities., • Interest in Compliance, risk management and how AI can strengthen control activities., • A builder mindset: you enjoy experimenting, testing ideas and turning them into useful solutions., • Strong listening skills and the ability to understand what is really needed behind a Compliance, Risk or control problem., • Intellectual curiosity and the ability to learn unfamiliar regulatory and risk domains quickly., • Ability to move comfortably between strategic thinking and hands-on problem solving., • Excellent communication skills and the ability to build trust with Compliance and Risk professionals, senior leaders and technical teams., • A collaborative mindset and a natural tendency to connect people, share knowledge and help others succeed., • Autonomy, initiative and comfort making progress when not everything is defined., • Pragmatism and good judgment about where AI can create value — and where it cannot., • Sensitivity to the regulatory, operational, reputational, data and ethical implications of AI. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $120,000 to $145,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

Senior Software Engineer | AI Startup | NYC Primis is partnered with a well-funded, early-stage AI startup in NYC building intelligent fraud detection software. ARR is growing fast, they have enterprise logos, and they're backed by strong institutional investors. Small team, real ownership, meaningful equity. They're hiring a Senior Software Engineer to own meaningful parts of the platform end-to-end. What you'll work on: • Own features from design through deployment - pipelines, workflows, internal tooling, and core platform capabilities, • Build systems where correctness and reliability aren't optional, • Work directly with product and operations to turn real business needs into scalable software, • Mentor junior engineers and help raise the bar across the team through code reviews, on-call, and incident response What we're looking for: • 5+ years building large-scale distributed systems in production, • Experience with high-reliability, high-accuracy, or high-security systems - you understand what it means when things can't be wrong, • Track record designing and launching backend architectures that serve multiple users and tenants at scale, • Able to move between rapid prototyping and production-grade development without losing either speed or quality, • Writes clearly, communicates well, and can hold a conversation with both engineers and non-engineers, • Self-starter who's energized by unsolved problems, not intimidated by them, • Strong collaborator - direct, open to feedback, and comfortable giving it, • Tech-stack: Python, JavaScript/Typescript Interested? Please apply for more info! ADVERT DISCLAIMER Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply - don't worry if you don't tick every single box. We'd still love to hear from you. We encourage underrepresented talent to apply to all our roles and support accessibility needs.

About the Role The Applied AI Engineer turns research and off-the-shelf models into systems the business actually runs on, pricing, risk, research workflows, or internal tooling. If a model ships but never gets integrated into a real workflow, it doesn't matter how good it is; this role is the difference between a promising prototype and something a portfolio manager touches every day. What You'll Do • Design, build, and ship production AI features end to end, from model selection through integration and monitoring, • Fine-tune and evaluate LLMs and other models against real business tasks, not generic benchmarks, • Build the evaluation harnesses and guardrails needed to trust a model's output in a production setting, • Work directly with researchers, PMs, and engineers to translate a vague idea into a shipped tool, • Own the full lifecycle of what you build: performance, cost, reliability, and iteration Must-haves • 3+ years shipping production software, with hands-on experience building applied AI or ML-backed features, not just research notebooks. This is non-negotiable for the role, • Strong Python and solid engineering fundamentals: testing, version control, code review, • Practical experience with LLM APIs, fine-tuning, or retrieval-augmented systems, • Comfortable owning a project from ambiguous spec to production Nice-to-haves • Experience in a regulated or high-stakes environment (finance, healthcare) where correctness and auditability matter, • Familiarity with vector databases, embeddings, or agentic workflows, • Prior exposure to a quant or trading environment, • Open-source contributions or public writing on applied AI work Why This Role This is a seat where the work ships fast and gets used immediately, not a research role that ends at a slide deck. The team is small enough that one engineer's judgment on what to build, and what not to, actually shapes the roadmap.

Role:- Applied AI Engineer – GenAI / LLMOps 📍 Location: New York, NY 10019 💼 Duration: Contract – 12 Months 🔄 Extension: Possible 🏢 Work Arrangement: Onsite/Hybrid – New York, NY 💳 Employment Type: W2 Only | No C2C 🚀 About the Role Our financial services client is seeking a Senior Applied AI Engineer to join the Fixed Income Credit Complex team and help build an enterprise-grade Generative AI workflow platform supporting document intelligence, embedded productivity assistants, and automated business workflows across Institutional Securities. This is a production engineering role — not a research or prototype position. We're looking for a senior, hands-on engineer who has successfully designed, built, deployed, and operated GenAI/LLM systems in production. This role offers the opportunity to contribute to a shared enterprise platform and take ownership of core GenAI capabilities, architecture, and engineering standards across Institutional Securities. 🔑 What You'll Do • Design and evolve reusable GenAI workflow primitives and services used across Institutional Securities workflows., • Build AI-powered assistants embedded into core applications using agentic and tool-driven workflows., • Define and guide GenAI architecture decisions, including model selection, orchestration patterns, and evaluation strategies., • Establish and enhance LLMOps practices, including evaluation harnesses, prompt/version management, monitoring, regression testing, and production reliability., • Design and implement controls for entitlements, data security, and PII handling, including the use of open-source models in regulated environments., • Develop and maintain AI-first document ingestion and extraction pipelines with measurable quality and accuracy., • Build sophisticated retrieval systems incorporating vector search, metadata filtering, multi-stage retrieval, re-ranking, and evaluation metrics., • Diagnose and stabilize production systems affected by model regressions, prompt drift, retrieval degradation, and data quality issues., • Partner closely with business, engineering, data, and platform teams to drive adoption of shared GenAI capabilities., • Help establish enterprise standards and best practices for production GenAI engineering. 🛠️ What We're Looking For • Multi-stage retrieval pipelines, • Vector search, • Re-ranking, • Metadata filtering, • Recall/precision tradeoffs, • MRR, • NDCG, • Strong production debugging skills with experience troubleshooting:, • Model regressions, • Prompt drift, • Retrieval degradation, • Data quality issues, • Production reliability problems, • Strong understanding of software engineering principles, system design, APIs, and scalable production platforms. ⭐ Nice to Have • Experience within Fixed Income, Credit, Capital Markets, or Institutional Securities., • Familiarity with enterprise data governance, security models, and entitlement frameworks., • Experience designing reusable internal platforms, developer tooling, or shared AI capabilities., • Experience working in highly regulated financial services environments. 🎯 Ideal Candidate The ideal candidate is a hands-on Applied AI / GenAI Engineer who has moved beyond experimentation and has experience taking LLM solutions all the way from architecture and development to production deployment, monitoring, evaluation, and ongoing optimization. You should be comfortable working across AI engineering, software engineering, retrieval, LLMOps, platform architecture, and enterprise security while partnering with business stakeholders and other engineering teams. 🔥 Key Technologies / Keywords Python | GenAI | LLM | RAG | Agentic AI | LLMOps | Vector Search | Re-Ranking | Embeddings | Tool Calling | Function Calling | Prompt Engineering | Evaluation Frameworks | Observability | AI Agents | Document Intelligence | Document Extraction | Coding Agents | Claude Code | OpenAI Codex | GitHub Copilot | Enterprise AI | AI Platforms

Cryogenic Systems Engineer Location: On-site in Houston, TX (Relocation available) An innovative engineering organization developing next generation electrical infrastructure is seeking a Cryogenic Systems Engineer to help advance cutting edge technologies that improve the efficiency, resilience, and performance of modern power systems. This is an opportunity to play a pivotal role in bringing breakthrough technologies from concept through commercialization while working alongside a multidisciplinary team of scientists and engineers. If you enjoy solving complex thermal and mechanical challenges, building first-of-their-kind hardware, and seeing your designs become real world products, this position offers exceptional technical ownership and career growth. This Role Offers • Join a highly collaborative engineering team focused on advanced energy technologies., • Lead the design of sophisticated cryogenic systems supporting innovative electrical applications., • Work in a hands-on environment where laboratory testing and prototype development are integral to the engineering process., • Contribute throughout the entire product lifecycle, from concept and design through validation and deployment., • Competitive compensation package with comprehensive health benefits, retirement plan, paid time off, professional development support, and career advancement opportunities. Key Responsibilities • Design, develop, and optimize cryogenic mechanical systems operating within the 4 K to 77 K temperature range., • Lead the development of components, assemblies, and support hardware for low temperature applications., • Plan and execute laboratory experiments to validate thermal performance, mechanical integrity, and system reliability., • Develop prototype hardware, oversee fabrication activities, and guide iterative product improvements based on testing results., • Perform engineering analyses related to heat transfer, thermal management, structural performance, and system integration., • Prepare engineering documentation including drawings, specifications, test procedures, technical reports, and design reviews., • Partner with electrical, manufacturing, and systems engineering teams to integrate cryogenic solutions into larger product platforms., • Evaluate suppliers, materials, and manufacturing methods to improve product quality, scalability, and cost effectiveness., • Support technical planning, project execution, and engineering milestones while managing multiple priorities., • Mentor junior engineers and contribute to engineering best practices across the organization. Required Qualifications • Bachelor's degree in Mechanical Engineering or a closely related engineering discipline., • Several years of experience designing cryogenic systems and mechanical assemblies., • Demonstrated experience working with cryogenic equipment operating between 4 K and 77 K., • Strong laboratory testing, prototype development, and experimental validation experience., • Experience developing mechanical designs using engineering analysis and CAD tools., • Excellent technical communication and documentation skills., • Ability to lead engineering efforts while collaborating across multidisciplinary teams. Preferred Qualifications • Background working with superconducting systems, including high-temperature superconducting (HTS) technologies, is highly desirable., • Knowledge of cryogenic refrigeration systems, vacuum insulated equipment, and thermal management techniques., • Experience supporting advanced energy, research, industrial, aerospace, medical imaging, or scientific instrumentation programs., • Background leading technical projects from concept through commercialization., • Familiarity with design for manufacturability, product development, and engineering cost optimization. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

We're looking for a Research Platform Engineer who enjoys solving difficult infrastructure problems and building systems that make complex research possible at scale. This role sits at the intersection of distributed computing, platform engineering, and computational research. We'd also be intereste

About Seeds Seeds is a fast-growing early-stage RIA fintech startup on a mission to empower financial advisors to supercharge their business growth while delivering a meaningful investing experience for their clients! At Seeds, our core values are the heartbeat of our Company: Trust is our currency and we champion transparency, active listening, collaboration, and a spirit of polite disruption. We’re dedicated to pursuing excellence in all that we do. Our clients are the heroes in our story, and we strive to make their needs the focal point of our innovative solutions. We are eager to welcome ambitious, energetic, and curious-minded individuals to join our innovative and passionate team where every contribution is appreciated, different perspectives are valued, and every voice matters. As a remote-first company, we pride ourselves on having a strong work ethic while embracing flexibility, a healthy work-life balance, and the freedom to work from anywhere in the U.S. You’ll have the chance to collaborate with a small talented team with extensive experience and knowledge in financial services, technology, and startups. Together, you’ll be at the forefront of wealth tech innovation, committed to reshaping a $6.6+ trillion industry and fostering meaningful connections between individuals and their finances. If you’re eager to make a meaningful impact in the financial advisory industry, we encourage you to apply to join us on our exciting journey! The Role As a Senior or Staff Quantitative Engineer, you’ll build and own the optimizer at the center of the Seeds platform. Its inputs are accounts, parameters, and preferences; its output is orders — every strategy we run passes through it. You’ll take end-to-end accountability for the correctness, precision, and validity of its outputs, and their alignment with financial constraints, business logic, and risk parameters. You’ll report directly to the CTO, work across Investments, Trading, and Product, and build hands-on with AI coding agents like Claude Code. The work sits equally in engineering and investments: knowing why a portfolio result is right matters as much as knowing why the code is. Join us in reimagining the future of wealth management. What You’ll Do • Build and own the portfolio optimization engine across thousands of accounts — the objective functions and constraints, the optimization modes and why each is set the way it is, mean-variance and convex optimization, index sampling, and tax-aware personalization (lots, restrictions, harvesting, wash-sale rules) — which the data pipelines, investment models, and trading functionality all depend on., • Own outcomes end to end, taking a problem from ambiguity to a shipped, correct, maintainable solution you stand behind in production., • Design and automate the regression suite that proves every change is a net benefit — coverage and invariant checks across the full cross-section of accounts, because a change that looks great on one account can quietly wreck a segment of others., • Diagnose the failure modes unique to optimization — infeasibility, non-convergence, numerical instability, and data-quality faults., • Read the output and know whether it’s right — telling a correct result from a plausible-looking wrong one and saying why, and knowing which constraints are regulatory rather than preference., • Work AI-native — using agentic workflows to move faster without trading away quality, owning everything that ships, and helping build our prompt, evaluation, and guardrail infrastructure., • Turn investment intent into production systems with Investments, Trading, and Product, explaining quantitative trade-offs to non-technical partners., • Raise the technical standard — improving the frameworks, patterns, and architecture other engineers build on, and supporting the team’s growth through code review, pairing, and leading by example.Successful Candidates Will Have, • Senior-level experience building and shipping production quantitative or numerical software (6+ years) — ideally on a small, fast-moving team., • Strong production engineering fundamentals — design patterns, object-oriented and functional programming, and a real sense of what makes code production-grade (we’re mostly a C# shop, but the fundamentals matter more than the language you have them in)., • Hands-on portfolio-optimization expertise — building objective functions and constraint sets, mean-variance/convex optimization, index sampling, working with factor risk models, and real-world limits like tax, restrictions, and personalization, using a solver stack such as Gurobi, MOSEK, CVXPY, or similar., • Hands-on with a commercial optimizer and risk model — Axioma, MSCI Barra, Northfield, or comparable., • Numerical correctness and validation rigor — you can speak to how you prove accuracy is preserved., • Working knowledge of wealth/asset-management constructs — SMA/UMA, asset location, model-of-models, OMS/EMS — or the ability to ramp quickly., • Deep familiarity with large financial datasets — time-series, reference, and fundamental data (Bloomberg, Morningstar, FactSet), and the intuition to tell when the data itself is wrong., • Fluency with AI-native development — you build with agents like Claude Code daily, with a point of view on where they help and a high bar for what you ship., • Demonstrated ownership and strong engineering judgment — you make sound trade-offs independently and care about the difference between “it works” and “it’s right.”, • Excellent cross-functional communication — including explaining quantitative trade-offs to non-technical partners., • B.S./M.S./Ph.D. in a quantitative field (Mathematics, CS, Engineering, Operations Research) — or equivalent demonstrated experience. Bonus: direct indexing / tax-loss harvesting / wash-sale systems · scaling optimization across many accounts (batch/parallel orchestration, shared-input caching, solver warm-starts) · C#/.NET in production · regulated-context experience (SOC 2). How We Work With AI We build hands-on with AI coding agents like Claude Code, and our expectations are: • AI is an enhancement, not a replacement. A strong engineer with AI is the bar; AI does not lower the bar for engineering judgment, numerical rigor, or accountability., • You own your output. No “the model wrote it” — you are the accountable owner of everything you ship, held to the same standard as hand-written code. That bar is especially high when the output moves money., • We’re building toward agentic development. We want engineers who help create the systems, tooling, and guardrails that let us safely delegate more work to agents over time — and who treat velocity and quality as things to compound, not trade off. Compensation & Benefits Pay will be determined based on experience and other job-related factors permitted by law, and may include incentive compensation. Seeds offers a competitive benefits package, including medical, dental, and vision; an open PTO policy; company-paid holidays; and remote-work flexibility. To Apply Please submit your resume to . For more about the company, visit www.useseeds.com.