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Jobs · Engineering · New York

Senior Python/GenAI Engineer

Capgemini · New York, NY · 1 wk ago
Engineering$105k–$115k/yrFull-time

About the Role

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location: Hanover, NJ.

Responsibilities

  • Design, develop, enhance, and maintain Python-based GenAI services, agent workflows, MCP integrations, and reusable platform capabilities
  • Build MCP servers, clients, tools, resources, prompts, schemas, and authorization patterns for internal and third-party systems
  • Implement agent orchestration flows including tool calling, function calling, workflow execution, retrieval, and output generation
  • Integrate internal and external data sources such as financial data providers, SEC filings, web search, enterprise repositories, and banking data services into agent workflows
  • Design and implement RAG pipelines covering ingestion, chunking, embeddings, retrieval, ranking, answer synthesis, and citations
  • Develop production-grade backend services and APIs using Python, FastAPI, async programming patterns, and secure service integration practices
  • Implement authentication, authorization, entitlement checks, and secure access patterns for user-specific consumption of MCP-enabled services
  • Perform testing, debugging, prompt evaluation, model output validation, logging, monitoring, and operational telemetry for GenAI components
  • Work closely with product owners, business analysts, architects, cloud engineers, governance teams, and bankers to convert requirements into production-ready AI capabilities
  • Maintain clear documentation of technical design, assumptions, interfaces, limitations, failure modes, and operating considerations

Requirements

  • Strong hands-on experience in Python for backend, ML, or GenAI application development
  • Proven experience building GenAI applications, LLM workflows, agentic systems, or AI-enabled production services
  • Solid understanding of MCP concepts and practical implementation patterns for tools, resources, prompts, servers, and clients
  • Experience with LLM orchestration frameworks such as LangChain, LangGraph, or similar
  • Strong understanding of RAG, vector search, embeddings, retrieval quality, citations, and grounding patterns
  • Experience developing APIs and backend services using FastAPI, REST APIs, async Python, and service-to-service integration patterns
  • Working knowledge of Git, modern version control practices, CI/CD workflows, and test automation
  • Experience deploying or integrating containerized services in a cloud environment, preferably AWS
  • Good understanding of authentication, authorization, secrets handling, entitlements, and enterprise security patterns
  • Ability to independently debug complex distributed systems across APIs, data flows, cloud services, prompts, and model outputs
  • Prior experience in banking, financial services, capital markets, or other regulated technology environments
  • Bachelor’s degree in a quantitative or technical discipline such as Computer Science, Engineering, AI, or equivalent experience

Pay

The base compensation range for this role in the posted location is $105,000 - $115,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The actual compensation offered may fall outside of the posted range and will be determined based on factors such as geographic location, education, qualifications, certifications, relevant experience, skills, seniority, performance, market considerations, and internal pay equity. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy:
    • Vacation: 12-25 days, depending on grade
    • Company-paid holidays
    • Personal Days
    • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

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