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Senior Software Engineer Job Description Company description: Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview: As a Manager Software Engineering, you will be the senior hands-on engineer in a cross-functional Alpha Labs team. Your mandate: turn cutting-edge generative-AI research and data-science insights into live demonstrations that differentiates Publicis in competitive pitches and large-scale client engagements. You will architect and build cloud-native services, GenAI-powered prototypes and intelligent APIs, then collaborate with data scientists, audience strategists, creatives and media technologists to embed those solutions across the connected consumer journey. Responsibilities: • Design, build and own backend services, microservices and cloud functions (AWS, Azure, Databricks) that power GenAI and data science workflows., • Integrate and experiment with GenAI APIs (OpenAI, Claude, proprietary LLMs) and agent/tool frameworks; implement retrieval augmented generation and vector database pipelines where useful., • Rapid prototype novel audience intelligence or ad tech concepts for new business pitches; evolve proofs of concept into scalable products., • Collaborate with data scientists to operationalize predictive segmentation, targeting and measurement models., • Act as the technical lead within the squad: set coding standards, review PRs and mentor engineers., • Translate complex AI/ML ideas into clear narratives for creative, media and C suite audiences., • 6+ years professional software-engineering experience (or 4+ years with a relevant advanced degree)., • Expert-level Python plus proficiency in at least one additional modern language (TypeScript/JavaScript, Java, Go, Dart, etc.)., • Hands-on experience calling or fine-tuning GenAI/LLM APIs (e.g., GPT-4o, Claude, Gemini) and integrating them into user-facing or service-layer applications., • Working knowledge of front-end or mobile frameworks (React, Next.js, Flutter, etc.)., • Prior work with AI-agent orchestration, vector databases (Pinecone, Weaviate, PGVector) or LangChain/LlamaIndex., • Experience deploying models or apps in Databricks and using MLflow or similar MLOps tooling., • Familiarity with marketing-tech or ad-tech domains, including identity graphs, segmentation and measurement. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. Compensation Range: $87,210 - $154,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. All your information will be kept confidential according to EEO guidelines. Veterans Encouraged to Apply.

Overview The Lead Backend Engineer on the AI Platform team plays a critical role in building, evolving, and leading the backend systems and engineering practices that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role combines hands-on backend engineering depth with technical leadership, delivery ownership, and mentorship for engineers working on business-critical systems. This role contributes to the development and evolution of core backend capabilities, including service-oriented architecture, APIs, workflow orchestration, event-driven integrations, identity and permissions, and operational tooling. In addition, the Lead Backend Engineer will drive buildouts of AI application infrastructure, LLM-powered product capabilities, agentic workflows, retrieval-augmented systems, evaluation pipelines, and shared platform patterns. Success requires strong technical judgment, sound systems thinking, and the ability to guide a team toward simple, scalable, and maintainable solutions in a cloud-based, regulated, high-stakes environment. The Lead Backend Engineer is expected to operate effectively in a modern engineering environment, using automation, observability, CI/CD, testing, infrastructure-as-code, and AI-assisted development practices to deploy, manage, and improve backend systems. In parallel, this individual will help set technical direction, break down ambiguous problems, mentor engineers, raise the quality bar through design and code review, and partner closely with Product, AI, Data, Operations, and business stakeholders to build both with AI and on top of AI responsibly, securely, and pragmatically. This is a fully remote position that offers a competitive salary range of $220,000 to $300,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors. Responsibilities Scale High-Performance Distributed Systems • Design, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs, and AI-enabled applications, • Develop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extend, • Build scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making, • Remain hands-on in critical areas of the codebase, especially where technical direction, architectural leverage, incident resolution, or execution speed requires senior engineering judgment Technical Direction & Architecture, • Lead the design of service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments, • Define practical patterns for service boundaries, idempotency, consistency, retries, failure handling, schema evolution, versioning, backward compatibility, and operational ownership, • Guide technical design reviews, architecture discussions, and implementation plans to ensure systems are simple, secure, reliable, observable, and maintainable, • Make sound technical tradeoffs that balance speed, simplicity, reliability, security, cost, and long-term platform leverage AI Product & Platform Development, • Lead the design and implementation of LLM-powered backend capabilities, including retrieval, tool use, workflow orchestration, structured outputs, human-in-the-loop review, evaluation, guardrails, and production monitoring, • Establish patterns for integrating AI systems with core services, data stores, document workflows, permissions, audit trails, operational decisioning, and user-facing product experiences, • Use AI-assisted development tools thoughtfully to accelerate software delivery while maintaining strong standards for code quality, testing, security, maintainability, and human ownership of technical decisions, • Partner with AI, Data, Product, and Operations teams to translate model capabilities, business workflows, and user feedback into reliable product experiences that improve over time Team Leadership & Delivery, • Lead, mentor, and develop backend engineers through technical guidance, design feedback, code review, pairing, coaching, and clear expectations for engineering quality, • Translate ambiguous business, product, and operational needs into clear technical plans, milestones, sequencing, risks, and execution paths for the team, • Coordinate delivery across engineers and partner teams, helping remove blockers, manage dependencies, clarify ownership, and keep work moving with urgency and discipline, • Help create a strong team culture grounded in ownership, high standards, candid feedback, pragmatic decision-making, and continuous learning Cloud Deployment & Operations, • Deploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or Azure, • Use infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability, • Monitor production services using logging, tracing, metrics, alerting, and observability tooling to proactively identify and resolve issues, • Support secure, resilient, cost-conscious, and well-documented operation of cloud-based backend infrastructure and application services Reliability, Security & Compliance, • Build and lead systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support, • Implement and review authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns, • Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, release readiness, and production support, • Contribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environment Cross-Functional Collaboration, • Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities, • Translate business and operational requirements into clean, scalable, maintainable, and secure backend solutions, while helping stakeholders understand technical tradeoffs and delivery risks, • Support downstream consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and external integrations, • Communicate clearly with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, incidents, and delivery timelines Qualifications, • 5-8+ years of experience building and operating production-grade backend systems, APIs, services, or distributed applications, • 2+ years of experience operating in a technical lead, team lead, staff-level project lead, engineering manager, or equivalent engineering leadership capacity, • Strong software engineering fundamentals, including data structures, algorithms, system design, debugging, testing, code quality, and pragmatic architecture decision-making, • Experience designing, building, maintaining, and debugging services that run in production and support real users or business-critical workflows, • Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, Scala, TypeScript, or C#, • Experience with API design, service boundaries, event-driven or asynchronous architectures, relational data stores, and non-relational data stores, • Experience building transactional systems where correctness, idempotency, consistency, reconciliation, and auditability matter, • Experience deploying and operating backend services on major cloud platforms such as AWS, GCP, or Azure, • Experience building AI-enabled product capabilities on top of LLMs, foundation models, retrieval systems, embedding and search infrastructure, agent or tool-calling patterns, workflow orchestration, structured outputs, and human-in-the-loop review, • Experience integrating AI capabilities with backend systems, permissions, audit trails, document workflows, data pipelines, APIs, operational decisioning, and business-critical user experiences, • Demonstrated ability to use AI-assisted development tools to improve engineering velocity while maintaining code quality, security, review discipline, and accountability for technical decisions, • Strong SQL skills and comfort with application data modeling, schema evolution, migrations, query performance, and data access patterns, • Experience leading technical design, breaking down ambiguous problems, sequencing work, managing dependencies, and helping engineers make high-quality implementation decisions, • Experience mentoring engineers through design review, code review, debugging, production support, career development, and feedback, • Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, security, compliance, and flexibility Preferred Experience, • Experience in fintech, mortgage, lending, payments, insurance, banking, capital markets, or other regulated domains, • Experience with queues, streaming, and event-driven platforms such as Kafka, Kinesis, SQS/SNS, Pub/Sub, RabbitMQ, or similar systems, • Experience building secure identity, access control, permissions, audit trail, policy, or compliance-oriented backend capabilities, • Experience building high-volume, low-latency, multi-tenant, B2B, enterprise, or internal platform systems, • Experience with AI platform components such as model APIs, prompt management, embeddings, vector databases, retrieval pipelines, function calling, model routing, evaluation harnesses, and AI observability tooling You do not need prior fintech or finance experience to succeed in this role. If you are a strong backend engineering lead with solid technical judgment, a product mindset, and excitement for leading engineers through complex backend and AI-enabled systems problems, we would love to hear from you. If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply. Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law. #LI-Remote

Senior AI Platform Engineer SS&C Advent's financial solutions are going Agentic! And we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis Platform used by clients around the globe. We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our enterprise big data platform. We are looking for Senior AI Platform Engineers to join our R&D team. These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems. Why You Will Love It Here! • Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans, • Your Future: 401 (k) Matching Program, Professional Development Reimbursement, • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays, • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave, • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees, • Training: Hands-On, Team-Customized, including SS&C University, • Design and build a scalable Agentic AI framework on top of our data platform., • Implement MCP- and A2A-based architectures for agent collaboration and orchestration., • Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT)., • Build APIs, SDKs, and tooling to enable other teams to use the framework., • Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents., • Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption. Core Skills (Must-Have) • Strong programming skills in Python with 5+ years of experience, • Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes)., • Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A)., • Hands-on experience with API design & integration (REST, GraphQL, gRPC)., • Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker)., • Strong understanding of IAM, security, and multi-tenancy in enterprise systems., • Experience in Information Security., • Experience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa)., • Familiarity with event-driven architectures (Kafka, Pulsar)., • Understanding of retrieval-augmented generation (RAG) patterns., • Background in authorization/identity systems (ReBAC, RBAC, Zanzibar-style)., • Familiarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus)., • Experience in enterprise AI governance (audit, lineage, compliance). Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Link Logistics Real Estate ("Link") is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans half a billion square feet. We leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo. We're hiring a full-stack Software Engineer to help build Link's investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build. This is not a role where requirements get handed down. You'll identify problems, design solutions, and ship - often in the same week. You'll need to be comfortable with ambiguity, confident making judgment calls independently, and energized by the kind of work where there's no established playbook. RESPONSIBILITIES: • Build and own the platform - design and maintain the application infrastructure, API layer, and shared services that power Link's Analytics Engine end-to-end. Microsoft Azure experience is preferred., • Set the technical foundation - make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right., • Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable., • Improve developer velocity - own the build, deploy, and testing pipeline and continuously reduce friction for the team., • Integrate AI-native workflows - build tools, prompts, and evals that put real analytical leverage in the hands of investment teams., • Work directly with stakeholders - engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate., • Lead by doing - mentor contractors and interns, set a high standard through code reviews, and bring teammates along without slowing down. QUALIFICATIONS:, • 5+ years of full-stack development experience, ideally including time in an early-stage or 0→1 environment, • Proven ability to ship end-to-end independently - from scoping a problem to deploying production code - without needing a designer, PM, or architect to unblock you, • Experience shipping LLM-native features or applications in production, • Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture, • Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs, • Sharp product instincts and a track record of making smart scope and architecture tradeoffs under pressure, • Direct, low-ego communicator - comfortable with hard feedback from internal users and fast to incorporate it PREFERRED QUALIFICATIONS:, • Experience building ML-powered application workflows and integrating data science outputs, • Familiarity with MCP or production LLM integrations, • Background at an AI-native company or in a product-focused founding environment, • Experience in real estate, finance, or other data-intensive industries $185,000 - $225,000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience. Link provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays, paid time off. The direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. EEO Statement The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email .

Squad is using AI to accelerate how the world's best talent finds the right problems to solve. The bottleneck in recruiting isn't sourcing. It's data. Candidate data is poor and getting noisier (self-reported, outdated, now AI-inflated). But recruiters hold high-quality, real-time signal because they talk to candidates every day. That's why companies spend >$800B/year on recruiting. The problem is this signal is fragmented and unusable at scale. Squad's first product aggregates signals from hundreds of recruiters and uses AI to instantly match their candidates to roles, giving companies unprecedented reach without the usual pain of managing external partners. We give recruiters a business-in-a-box that lets them earn more while doing what they do best: building relationships and knowing their candidates deeply. In return, we get proprietary data. Our AI structures signal from real recruiter-candidate context that doesn't exist on LinkedIn or resumes. Every submission, every rejection, every hire feeds a self-improving AI matchmaking engine. We believe the future of recruiting is human authenticity paired with AI efficiency. Great recruiters have a critical role to play, and Squad is built to empower them. Long-term, Squad becomes the infrastructure layer for how talent meets opportunity. Why you should join us Squad is a generational opportunity to rethink how recruiting works, and our path to doing so is significantly de-risked. We have: • Exponential growth: We have product-market fit and are growing rapidly. Squad supports hundreds of candidates, recruiters, and employers every day. We've grown 10x in under a year with a 3-person team., • AI-first business model. Our approach is distinctly enabled by AI, and our business gets stronger as foundation models improve. We're building durability through cross-sided network effects that compound over time. Every submission, rejection, and hire feeds a self-improving matchmaking engine., • Real ownership. It's still 'day 0'. You'll shape what Squad looks like and how far we get. Your input will define our vision, product, team, and execution. What you build now becomes the foundation for everything that follows., • Top tier investors: We've raised over $5M from FJ Labs (Airbnb, Uber, Dropbox), Link Ventures (Mercor, Liquid AI), Golden Ventures (Faire, Boardy), and angels. As the first engineer at Squad, you'll own one of the hardest challenges in tech: predicting which humans will thrive where. We've already solved the cold start problem. We have hundreds of users generating thousands of data points every day. The foundation is there. Now comes the fun part: endless room to build, and you'll shape what that looks like. You'll take full ownership of anything AI at Squad - technical vision, execution, and the decisions that shape what this company becomes. This isn't a role where you inherit a roadmap. You'll collaborate directly with the founder to figure out what to build, how to build it, and who else we need on the team. Predicting human fit is one of the hardest recommendation problems out there - sparse feedback, subjective preferences, high stakes. Most hiring AI trains on the same public data everyone else has. We have proprietary signal from both sides of the market that no one else sees. No one has built on a foundation like this before. Key Responsibilities • Building recommendation systems that predict candidate-job fit - and get smarter with every hire, rejection, and feedback loop, • Designing AI agents that automate end-to-end recruiter and ops workflows, • Fine-tuning models on proprietary hiring data no one else has access to, • Evaluation and simulation environments to measure and improve match quality, • And much more which you'll define, across matching, automation, and infrastructure., • High ownership, comfort with ambiguity, bias toward shipping, • 3+ years of software engineering experience, with a track record of shipping full-stack AI/LLM features in production, • Proficiency with modern AI/ML technologies (LLM APIs, embeddings, vector databases, fine-tuning), • Experience in a high-intensity, high-velocity environment (e.g., seed or Series A/B startup, high-growth tech company, 0→1 product team)

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Temporary, • End Date if Temporary: 2 years from start date, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Center for Public Research and Leadership (CPRL) is a partnership of professional schools that prepares students for leadership positions in public education organizations committed to improving the life chances of all children, particularly those of color, from low-income households, or otherwise traditionally underserved. The program brings together upper-level graduate students in business, education, law, and policy from universities across the nation to study and engage in research and consulting projects serving public- and social-sector organizations in the U.S. and Brazil that are undertaking and supporting transformational change in P-12 education and in the public sector as a whole. The program offers graduate students the rigorous, multi-disciplinary, academic, and experiential preparation they need to flourish in exciting leadership, management, and professional positions in those same organizations while simultaneously offering the organizations high-quality, low-cost research and consulting support. Responsibilities 1. Manages, supports, and mentors teams of graduate and professional students in designing and implementing research and consulting projects in the P-12 education sector. a. Team management: Serves as the manager of teams of four to six graduate students for four-to ten-month consulting engagements; sets up project management structures; promotes team cohesion, oversees creation of project plan, and allocation of tasks. b. Strategy development and thought leadership: In collaboration with CPRL leadership and staff, designs research and consulting strategy and methodology for projects; executes and adapts strategy and methodology based on the type of project, gathered information, and client feedback; communicates strategy, vision, methodology, and outcomes to relevant stakeholders. c. Professional development of students: Actively develops student skills and dispositions necessary for the research and consulting projects; provides leadership opportunities for students within the team structure; provides ongoing feedback to students; collaboratively establishes professional growth goals with the team and individual students, and monitors progress towards these goals. d. Quality assurance: Ensures all work products are high quality and delivered on time. 2. Serves as liaison with client organizations: Serves as the primary point of contact with the client; develops project scope of work; manages student-client interaction; documents all changes in project scope., 3. Communicates with CRPL leadership: Updates and receives feedback from CPRL leadership about project work; provides written and oral updates about project and student progress; surfaces issues for additional CPRL support; communicates feedback from leadership to student team and integrates it into project work., 4. Collaborates with CPRL staff on project work and on the development of student resources: Works closely with Associate Directors leading analogous or interconnected projects; contributes to the design and execution of project-related professional learning experiences and materials for students., 5. Collaborates with fellow Directors to ensure project success: Meets with Associate Directors about project work; collaboratively troubleshoots problems; engages in discussions and activities to ensure consistent expectations for students. Minimum Qualifications • Bachelor's degree required and advanced degree in education, law (JD, LLM), management or business, policy, or social sciences required, plus 5-7 years of significant experience., • Strong research and analytical skills, with a preference for candidates with expertise in modeling and analyzing qualitative and/or quantitative data and in matching research methodologies to client and project requirements. Demonstrated ability to design, direct, and carry out team projects with minimal supervision and to work closely with stakeholders in the public sector or non-profit agencies., • Intellectual capacity to think strategically in a fast-paced environment; understand multiple perspectives; learn about new topics; problem solve and develop responsive solutions under changing circumstances., • Ability to respond to and integrate feedback from both peers and supervisors; ability to communicate feedback to individuals and teams in a clear and productive manner., • Experience as a P-12 teacher or experience teaching/mentoring young professionals preferred., • Excellent interpersonal, organization and communication skills., • Excellent writing, editing and presentation skills. Columbia University is committed to the hiring of qualified local residents.

Senior Manager, Analytics and Insight Overview: As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity, enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business. The impact you'll make: • Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities, • Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains, • Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling, • Drive proactive strategic insights to improve the caliber of decision-making across the business, • Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations, • Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement, • Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions, • Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO, • Design and oversee A/B testing and other experimental methodologies to validate product hypotheses, • Lead and develop an 6+ person team spanning analytics, business intelligence, and data science, • Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports, • Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows, • Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand, • Bachelors degree in Business, Data Science, Statistics, or a related field; Masters degree preferred., • 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role., • Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt), • Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers, • Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale, • Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level, • Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau), • Strong understanding of statistical methods, A/B testing, and user research techniques, • Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context, • Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency, • Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech), • Experience supporting SOX-adjacent data validation or ERP integration workstreams 2026 US Benefits for Full Time, Regular Employees: • Physical Health (Medical, Dental & Vision), • 100% employer-paid premium for employees, • Up to 80% coverage for dependents, • Company HSA contribution with the High Deductible Health Plan, • 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution), • Basic Life, Voluntary Life and AD&D Insurance options, • Supplemental, voluntary benefits, • Student Loan Repayment/529 Education Savings with a monthly company contribution, • FSA (Medical, Dependent, Transit and Parking), • Voluntary Life and AD&D Insurance, • Critical Illness Insurance, • Accident Insurance, • Short- and Long-term Disability Insurance, • Pet Insurance, • Identity theft protection, • Legal access to a network of attorneys, • PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industrys future; ready to roll with us? See how weve grownour journey, leadership team, and whats next at ___ About Weedmaps: Founded in 2008, weve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. Freedom to choose. Freedom to access. Freedom to enjoy. Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: • Our recruiters will always communicate with candidates through an @___ email address., • Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps., • If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit ___. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at ___ if you would like to confidentially discuss a potential accommodation during the interview process. Salary $185984 - $239246 USD per year recblid i74ird1jvo79l7e7p71xhyw9c8k1y8

Arpit Gupta is hiring multiple full-time Research Scientists for ongoing research on pioneering LLM tools to understand zoning's impact on housing affordability.Working with collaborators Alex Bartik at UIUC and other researchers at NYU Stern, we're looking for candidates to work at the intersection

LLM Experienced professional opportunity in NYC.

LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning). Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).

Job DescriptionCoreWeave 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 . What You'll Do: The Applications Engineering team in the Data Infrastructure organization builds AI-native analytics platforms and first-party applications that embed governed data directly into operational workflows. The team develops CoreWeave's internal data-native software products, transforming data into operational capability through intelligent interfaces, automation, and decision systems. This includes AI-native analytics platforms (e.g., UNION) and mission-critical applications such as capacity planning and scenario modeling. These systems encode CoreWeave's differentiated operating knowledge into software, enabling scalable, data-driven decision-making across the business. About the role: As a Senior Software Engineer, you will design and build production-grade, full-stack applications that make data accessible, actionable, and embedded within CoreWeave's core workflows. You will develop AI-enabled user experiences, scalable backend services, and intuitive interfaces that abstract away the complexity of underlying data systems. Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company. Who You Are: • 7+ years of experience building production-grade software applications, including both backend services and modern web frontends, • Strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript), • Strong experience building modern frontend applications using frameworks such as React and Next.js, • Hands-on experience with containerization and deployment tooling (e.g., Docker, Helm), • Experience building and operating APIs and services (e.g., REST, gRPC) with a focus on performance and reliability, • Experience developing and deploying AI/ML/LLM-powered applications in production environments, • Familiarity with data platforms and tools (e.g., Spark, Kafka, or similar systems) and integrating them into application workflows, • Experience implementing software development best practices, including CI/CD, automated testing, observability, and secure application design, • Experience building AI-native applications such as text-to-SQL interfaces, copilots, or automated insight-generation systems, • Experience designing and building scalable, distributed systems deployed in cloud-native environments (e.g., Kubernetes), • Familiarity with real-time data processing or streaming architectures, • You love building user-facing applications that turn complex data into intuitive experiences, • You're curious about applying AI to real-world problems, not just prototypes At CoreWeave, 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 The base salary range for this role is $165,000 to $242,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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: . 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 job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: SWE/LLM Superuser Type: Contract Compensation: $42/hour Location: Remote Role Responsibilities • Evaluate and improve AI model outputs in complex software engineering tasks., • Develop and refine prompt engineering techniques, including chain-of-thought and few-shot methods., • Build and optimize agentic systems with tool-calling loops and multi-step reasoning pipelines., • Manage context effectively using RAG, chunking, and vector search to prevent degradation., • Critically assess model outputs, identifying hallucinations and subtle failures. Must-Have • 4+ years professional software engineering experience., • Strong proficiency in at least two languages (Python, TypeScript, Go, Rust, etc.)., • Comfortable with APIs, databases, cloud infrastructure, and application logic., • Upload resume, • AI interview based on your resume

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityThe vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components., • Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making., • Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages., • Work in collaboration with various teams, in particular the experimental materials science team., • Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs., • At least 3 years of research experience in AI, with a proven track record of designing agentic systems., • Familiarity with large-scale model training., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Domain knowledge of materials and/or molecules., • Familiarity with large-scale model training., • Experience with LLM engineering., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Senior Cloud Architect – Data, AI & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring a Senior Cloud Architect to drive the design and implementation of modern data and AI platforms. This role will enable enterprise adoption of AI/ML and GenAI solutions through scalable cloud architectures. Key Responsibilities: • Build and scale cloud-native data and AI platforms, • Architect data pipelines and AI/ML integration frameworks, • Ensure governance, security, and operational excellence, • Strong experience in cloud architecture (AWS, Azure, GCP), • Expertise in large-scale data platform design and implementation, • Data platforms: Databricks, Snowflake, Azure Synapse, BigQuery, • ML/AI Engineering: Python, PyTorch, MLOps pipelines, • GenAI: Experience with LangChain, LLM orchestration, agentic AI

Job DescriptionFusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the Role: We are seeking a Director of Engineering with strong expertise in both core software engineering and applied AI/Machine Learning to lead the development of innovative, production-grade products. This is a hands-on leadership role requiring a highly technical individual who can actively contribute to system design, coding, and architecture while also guiding a team. The ideal candidate combines deep engineering execution with the ability to set technical direction and drive delivery in a fast-paced B2B environment. This role operates with a 60% focus on technical execution and 40% on leadership and oversight. Key Responsibilities: Hands-On Technical Leadership • Serve as a hands-on technical leader, spending the majority of time coding, reviewing code, and designing systems, • Operate at a senior/principal engineering level while setting technical direction, • Lead by example in building production-grade software across backend, frontend, and infrastructureAI & Data Systems Development, • Design, build, and deploy AI-enabled products end-to-end, including:, • Statistical and predictive models, • LLM-based systems (e.g., LLaMA, Qwen, Mistral), • Fine-tune and integrate models into customer-facing B2B applications, • Focus on shipping AI into production, not research, • Collaborate effectively with AI/ML specialistsSoftware Engineering Excellence, • Contribute as a core software engineer across backend and frontend systems, • Build high-quality applications with emphasis on:, • Clean architecture, • Performance and scalability, • Reliability and maintainabilityBackend, Platform & Infrastructure, • Develop backend services using Golang, • Work extensively with Kubernetes, including:, • Service architecture, • Deployment and scaling, • Debugging, observability, and production operationsFull-Stack Development, • Build and review end-to-end product features using:, • React, • NestJS, • Contribute across the full stack as neededTeam Leadership & Collaboration, • Lead and mentor a small-to-mid-sized engineering team while remaining hands-on, • Provide code reviews, technical mentorship, and architectural guidance, • Establish engineering standards and best practices with minimal process overhead, • Partner with Product and business stakeholders to drive outcomesProduct & Business Impact, • Build and scale B2B products, • Make engineering decisions with a clear understanding of:, • Customer impact, • Delivery timelines, • Revenue implications, • Experience: At least 5 years of technology experience, with experience in leadership roles managing teams that specialize in both ML/MLOps and core software engineering. Experience with ML metrics observability, workflow orchestration, service release automation, notebook development, and LLM deployment is a plus., • Education: Advanced degree in Computer Science, Engineering, or a related field, with a strong background in both AI/machine learning and software engineering., • Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP)., • Leadership and Vision: Proven ability to lead, inspire, and grow multidisciplinary engineering teams. A Strategic thinker with the capacity to balance short-term goals with long-term vision., • Collaborative Skills: Excellent communication and collaboration skills, capable of fostering positive relationships across engineering teams and with other business units. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR deRuOve3G5

Strong experience with LLMs and agentic systems, including orchestration patterns, tool/function calling, retrieval, structured outputs, evaluations, and safety/guardrails. Experience with LLMOps practices (evaluation harnesses, prompt/version governance, monitoring/quality metrics). Designs and imp

This is a specialized role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. In this role, you won't just be using models; you will be tearing them apart to see how they run on the metal. You will ensure the team has seamless, high-performanc

This person will provide technical depth during pre-sales, sales presentations, and client interactions. Represent AI technology offerings during client meetings and technical sales discussions. The AI Technical Specialist will be a key technical expert with experience in Large Language Models (LLM)

Job DescriptionTax Associate Attorney – New York Direct Counsel is seeking a Tax Associate Attorney to join a top-ranked Am Law firm in New York. This role offers the opportunity to work with a nationally recognized tax team advising clients across a wide range of domestic and cross-border transactions. About the Role The firm’s tax group provides sophisticated counsel on international, federal, state, and local tax matters, with a strong focus on transactional tax work. You’ll collaborate with clients that include investment funds and their portfolio companies, renewable energy developers, and major corporations engaged in complex M&A and fund formation activities. Key Responsibilities * Advise clients on M&A, financing transactions, and portfolio investments. * Design and implement tax-efficient structures for joint ventures and corporate transactions. * Provide federal and state tax planning guidance. * Stay current on evolving tax laws by contributing to thought leadership initiatives such as articles and client alerts. * Work collaboratively within a team-oriented environment, with approximately 60% in-office participation expected. Qualifications * JD or LLM from an ABA-accredited law school. * Admission (or eligibility for admission) to the New York Bar. * Minimum of 3 years of transactional tax experience, focusing on corporate and partnership taxation within a law firm. * Experience in accounting or renewable energy sectors is a plus. * Strong written and verbal communication skills. * Detail-oriented, organized, and able to manage multiple priorities effectively. * Team-oriented mindset with a high level of professionalism. Compensation & Benefits * Base salary range: $260,000 – $310,000 * Annual bonus eligibility. * Comprehensive benefits package offered. If you’re a motivated tax attorney seeking to join a premier firm with a collaborative culture and sophisticated client base, we’d love to connect. Apply through Direct Counsel to learn more and be considered for this opportunity.

Job Description We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organizations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. We save clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description As one of our first engineering hires, you'll have the unique opportunity to: • Ship quickly, • Design and build new modes of working with computers, • Work on groundbreaking projects involving LLMs, • Collaborate closely with our external partners to fuel our growth, • Contribute to product decisions, direction and prioritization, • Shape our engineering culture

Job DescriptionFounding AI Engineer (Fintech/LLM) Location: New York City, NY (Hybrid, 4 days onsite) Role Overview Founding AI Engineer role owning the end-to-end design, development, and scaling of LLM-powered product features within a high-growth fintech platform. This position directly impacts core product intelligence and user experience through applied AI systems in production. Responsibilities • Own and ship AI features end-to-end from concept to production across full-stack systems, • Design and build LLM-powered product features used by large-scale active user base, • Architect and maintain AI systems including prompt orchestration, memory, and contextual personalization, • Develop retrieval systems leveraging embeddings, RAG pipelines, and financial data grounding, • Build evaluation frameworks to measure model quality, reasoning accuracy, and safety, • Optimize model performance, latency, and cost efficiency in production environments, • Implement guardrails and compliance controls for AI systems in regulated financial contexts, • Collaborate directly with founders and cross-functional teams to iterate quickly on product featuresRequirements, • 3+ years of production software engineering experience or exceptional new graduate, • Hands-on experience shipping LLM-powered applications in production, • Experience with RAG systems, embeddings, or retrieval architectures, • Strong backend engineering fundamentals and system design experience, • Ability to own systems end-to-end and operate independently

A cybersecurity ratings leader in New York City is seeking a Senior AI Engineer to develop AI-powered product features.This hands-on role involves designing workflows, integrating AI, and leading code reviews.Ideal candidates will have 5+ years of software engineering experience, strong proficiency

Productionize LLMs: Build evaluation framework for open‑source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self‑correction loops tailored to production operations. Collaborate directly with users: Partner with production engineers and applicat

In this role, you will Architect and build control and data plane implementations required to realize a highly available, multi‑tenant, large‑scale and secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre‑tra

Applied Researcher I (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. For technical support or questions about Capital One's recruiting proc

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. Scale's LLM post-training platform team builds our internal distributed framework for large language model training. At Scale, our

Job Description Role: Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10–12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an automated insurance document processing system. You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface. Key Responsibilities: • LLM Implementation: Build and optimize prompts and "Agentic" workflows to convert complex insurance documents into precise JSON formats for storage in SQL/Cosmos DB., • Feature Development: Develop and maintain business logic within .NET Core APIs and create intuitive UI components in React for data validation and risk assessment., • Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities., • Optimization: Implement Azure AI Foundry for model monitoring, focusing on reducing latency and costs in the RAG pipeline., • 10+ years of professional engineering experience with a heavy focus on GenAI integration., • Proficiency in .NET Core, React, and Python-based AI frameworks (LangGraph, Semantic Kernel, or FastAPI)., • Hands-on experience with Azure AI Search, RESTful API design, and CI/CD (GitHub Actions/Azure DevOps)., • Ability to translate complex business rules into both deterministic code and LLM prompts.

Job DescriptionLocations: New York, NY or Washington, D.C.Direct Counsel is seeking a Special Counsel to join a nationally recognized litigation firm. This firm’s litigation group is known for delivering resourceful strategies, sophisticated advocacy, and practical results across a wide range of complex disputes. The team combines deep subject matter knowledge with a collaborative, client-centered approach to litigation, arbitration, and trial work. Position Overview: Direct Counsel is seeking a Special Counsel with at least seven years of experience to support a busy litigation practice focused on insurance and reinsurance disputes. This senior, non-partnership-track role offers an opportunity to take on substantial responsibility in pretrial and trial matters, with a strong emphasis on arbitration and expert witness work. Key Responsibilities: * Handle a full spectrum of litigation activities including drafting complex legal submissions, preparing witnesses, conducting expert discovery, and participating in trial practice * Participate in arbitration proceedings and develop key advocacy skills * Work closely with senior attorneys and clients on strategy and execution * Help mentor junior attorneys and contribute to the team’s collaborative culture Qualifications: * JD or LLM from an ABA-accredited law school * Admitted or eligible for admission in New York or the District of Columbia * 7+ years of experience handling complex litigation matters * Interest and/or experience in insurance and reinsurance disputes (preferred) * Strong writing, communication, and advocacy skills * Demonstrated ability to manage multiple priorities with professionalism and attention to detail * Team-oriented mindset and willingness to take initiative in a collaborative environment Work Location: * This role may be based in either New York or Washington, D.C. * The firm encourages a hybrid schedule with approximately 60% in-office presence Compensation: * Base salary range: $275,000 to $305,000 * Eligible for discretionary bonus * Comprehensive benefits package provided

Job DescriptionScope of RoleDesign, integrate, and operate LLM-powered and agentic workflows for claims data. Build and maintain HIPAA-compliant systems for sensitive healthcare data. Lead decisions around security, compliance, cost, performance, and scaling of AI workloads. Implement robust monitoring, alerting, and observability systems for AI pipelines and production modules. Collaborate cross-functionally with engineering, product, and operations teams to integrate AI capabilities into Torch’s platform. Mentor and guide other engineers on best practices on both backend engineering and agentic workflows.MUST HAVE SKILLS5+ years of experience in software engineering. Strong experience with cloud platforms (AWS, GCP, Azure) and deploying secure, compliant workloads. Demonstrated record of building scalable, secure, and reliable systems. Comfortable collaborating with non-engineers, including product managers, designers, and business stakeholders. Bonus: 1+ year of experience designing AI workflows end-to-end Experience leading AI infrastructure projects end-to-end in a startup environment Contributed to architecture or coding standards for engineering teams. Experience in early-stage product ideation and design for AI-enabled features. Hands-on experience with containerization/orchestration (Docker, Kubernetes) and infrastructure-as-code tooling (Terraform, Pulumi) for provisioning and managing cloud resources.

Job DescriptionCompany Description An enterprise client in the AI/LLM space is seeking highly qualified finance professionals to support a short-term project focused on reviewing and structuring complex financial information. This initiative contributes to improving the accuracy and reliability of financial data used in advanced AI systems. You’ll work on tasks involving financial analysis, interpretation, and validation across a range of finance-related content. Job Description The client is looking for experienced finance experts with strong analytical capabilities and deep domain knowledge. This opportunity is ideal for professionals with backgrounds in: • Risk Management, • Corporate Finance, • Valuations, • Investment Analysis, • Review and interpret complex financial statements, models, and investment-related content, • Analyze and validate structured and unstructured financial data, • Ensure accuracy, consistency, and quality of financial information, • Apply domain expertise to support AI model evaluation and improvement, • Deliver work within defined timelines during the engagement periodQualifications Requirements: • CFA Level 3 cleared (mandatory), • Strong expertise in finance domains such as Risk, Corporate Finance, or Valuations, • Experience working with financial statements, models, or investment materials, • High attention to detail and strong analytical thinking, • Excellent written and verbal communication skills, • Experience in financial data validation, QA, or research, • Familiarity with AI/LLM-related projects or data annotation, • Experience working with both structured and unstructured datasets Additional Information • Short-term, project-based engagement (~2 weeks), • Remote work opportunity, • Work with a global team across multiple regions, • No guaranteed long-term engagement beyond the project duration

Core Skills & Technologies NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Attend client meet

What you will doPrompt engineering and testing with LLMsContext engineering to determine the right dataAgentic workflow designHelp us build systems to easily monitor and test LLM performanceContribute to production code (Clojure + Python)Analyze large data setsBuild dashboardsContribute as a thought

A leading AI insights firm is seeking a skilled engineer to own the LLM infrastructure for transformative B2B research products.

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good.

Job DescriptionSr. Software Developer (Angular / Azure / AI-Driven Applications) Contract Duration: 12+ months Engagement Type: Contract | Hybrid Location: 4 Irving Place, New York, NY Interview Process: 1st Round Video | 2nd Round On-Site (Mandatory) About the role: VTS3 Corp is seeking a Senior Software Developer with strong Angular expertise to build enterprise-grade, AI-driven user interfaces integrated with Azure cloud services. This is not a basic front-end role. You will be working on complex, data-intensive applications, integrating AI services, orchestration layers, and enterprise systems—with direct impact on business operations. VTS3 is known for delivering high-quality talent and technology solutions to complex environments, particularly within utilities and large-scale enterprise systems. Key Responsibilities: Frontend Development & Architecture: • Develop and maintain enterprise Angular applications using modern best practices, • Build reusable components, services, and modular architectures, • Design high-performance, scalable UI frameworksAPI & System Integration:, • Integrate frontend applications with REST APIs and orchestration layers, • Connect UI workflows to Azure-based backend services and AI systems, • Ensure seamless communication across distributed systemsSecurity & Cloud Integration:, • Work with Azure Key Vault for secure configuration and secrets managementAI & Data-Driven UI Development:, • Implement data visualization and real-time data streaming, • Optimize UI performance for large datasets and AI-driven interactions Collaboration & Delivery:, • Provide guidance to junior developers, • Enforce Angular best practices and architectural standards, • LOCAL NYC metro candidates ONLY (hybrid/on-site required), • Utilities experience preferred All Candidates Must be Authorized to Legally Work in the US Without Sponsorship Mandatory Qualifications: (Please read carefully. They MUST be shown on your resume) Core Technical Skills: • Strong experience with Angular and Typescript, • Solid knowledge of HTML5, CSS3, and modern UI patterns, • Experience building enterprise-level single-page applications, • Strong experience integrating REST APIs and asynchronous servicesCloud & Integration:, • Experience working with Azure-based applications, • Experience with Azure ADO pipelines and GitAdvanced Capabilities (Required for this role), • Experience with AI or LLM-powered applications, • Experience building data-heavy dashboards and enterprise tools, • Knowledge or Azure AI services (GPT models, embedding, etc.)Architecture & Performance:, • Ability to optimize UI performance for large-scale enterprise systemsPreferred Skills:, • Experience in large enterprise cloud environments and microservices architectureEducation:, • Work on AI-driven, enterprise-grade applications, • High-impact role within large-scale infrastructure and utility environments, • Long-term contract with extension potential, • Exposure to cutting-edge Azure and AI technologies $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: • The referral must be made by using the "Refer a friend" button on this page, • The person you refer must be placed within 90 days of being referred, • The person you refer must complete 480 billable hours 8e56rJCw8Y

Job Description Our client is a well-funded Software Startup in New York City, NY building technology to help government entities to leverage AI to increase efficiencies and outcomes. They are currently hiring a Senior Software Engineer / Infrastructure Engineer for their office located in midtown, and this is a hybrid on-site role. Qualified candidates will have at least 5+ years overall experience including hands-on experience with the following technology Stack: Python, FastAPI, Async Python, MongoDB / NoSQL DBs, AWS, Terraform, Kubernetes, Temporal, SpiceDB. Ideal candidates will also have experience with AI / LLM driven backend systems, optimization / scaling / eliminating bottlenecks. BSCS or equivalent is required. The Senior Software Engineer will be responsible for approximatly 70% Backend coding and 30% Infrastructure scaling. Candidates need startup experience and the company prefers technology degrees from top-tier schools. Applicants must be willing to and be interested in working on-site in NYC in a hybrid capacity 3+ days / week. This position offers competitive base salary, equity and comprehensive benefits. Send your resume to for consideration.

Job DescriptionCompany Description Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world. Job Description Hands-on engineering role focused on building and scaling business-critical applications for Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. • Design, build, and maintain full-stack applications using Python on the backend and React / Next.js on the frontend, • Develop APIs and services that integrate with internal platforms, data sources, and third-party tools, • Develop retrieval-augmented generation (RAG) pipelines and LLM-based workflows using tools such as LangChain or LlamaIndexQualifications, • Minimum of 8 years of hands-on experience building production systems using Python, with strong experience working with enterprise data platforms and databases (e.g., Snowflake, Databricks, PostgreSQL, MS SQL), • Frontend development experience with React and/or Next.js, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex), • Prior experience or exposure to the investment management or financial services industry Additional Information

Job Description We build LLM-powered research tools for the deal teams that cannot afford to get it wrong. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices. These are organizations deploying billions of dollars annually, and they rely on us to capture and surface the intelligence that drives their decisions. We are profitable, bootstrapped, and about 30 people across London and New York. We 10x'd revenue in 2025 and are on track to grow 2 to 3x again this year. We save clients an average of 10 hours per week, and we are expanding fast into investment banking, hedge funds, and research firms. What the role looks like You are the third PM we have hired and you will own the core research workflow end to end. That means the roadmap, the execution loop, the QA, and the shipping. The goal is one major new feature per week. That is not an aspiration, it is the operating tempo. Day to day you are talking to users, writing specs, making tradeoff calls with engineering and design, running testing plans, and keeping the people who need to know informed without burying them in updates. You will join sales and CS calls to demo the product and translate what you hear directly into priorities. There is no layer between you and the work. You will also have the opportunity to build 0 to 1 add-on products alongside the core workflow work. The expectation is that you grow into a leadership role as the team scales around you. What we are looking for • You have shipped and iterated B2B SaaS products at a fast-moving company and you have the scar tissue to show for it. You know what good execution looks like because you have done it, not just managed it., • You make good tradeoff calls under pressure, keep teams unblocked, and default to MVP and iterate rather than waiting for perfect. Low ceremony, high accountability is how you prefer to work., • You are comfortable sitting with users and senior stakeholders and you do not need a script. You will be demoing the product, running discovery conversations, and translating messy customer feedback into sharp product decisions., • You are a builder. You are happy to get into the details and use tools like Claude Code or Codex to make tweaks yourself rather than waiting on someone else to do it., • You write and communicate with clarity. Your specs do not create confusion and your stakeholder updates do not require a follow-up meeting to interpret., • You are in New York and genuinely want to be in the office five days a week. This is not a policy, it is how the team works and why it moves as fast as it does. This is an individual contributor role with a clear path to leadership. We are not vague about that. As the product team grows, the person who has been running core workflow execution is the natural candidate to lead it. We promote from within because it is the only approach that makes sense at our stage. The work itself is genuinely interesting. You are building AI-powered tools for some of the most analytically demanding users in the world, people who will tell you exactly what is broken and exactly what they need. The feedback loop is short and the bar is high. That is a good environment if you want to get better fast. The comp is $160,000 to $220,000 depending on background, plus equity. Benefits include private healthcare, a gym membership, an in-office cook, and summers working from Greece. That last one is real. On-site in New York City.

Jump Trading Group is committed to world class research. At Jump, research outcomes drive more than superior risk adjusted returns. Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump.

Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.

A health technology company in Jersey City is hiring a Staff or Senior Staff Research Scientist to lead AI/ML and LLM model development.

As the Distinguished Engineer for Innovation & Advanced Architecture, you will serve as the senior technical authority for Cisco's most strategic and complex AI architecture challenges. Deep expertise in generative AI, LLM integration, multi-agent systems, RAG, evaluation frameworks, and enterprise

The role focuses on building AI systems, production ML, and collaborating with engineering teams. A global technology services company is seeking an Application Management Specialist in New York or remote.

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good.

Applied Researcher II (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).