28 days ago
Base Salary
$91k - $107k/yr
Responsibilities
- Design, develop, and maintain Python-based GenAI services, agent workflows, MCP integrations, and reusable platform components.
- Build MCP servers, clients, tools, resources, prompts, schemas, and authorization frameworks.
- Develop agent orchestration workflows involving tool calling, function calling, retrieval, workflow execution, and output generation.
- Design and implement RAG pipelines covering ingestion, embeddings, retrieval, ranking, answer synthesis, and citations.
- Integrate financial data providers, SEC filings, enterprise repositories, web search, and banking platforms.
- Develop secure production-grade APIs and backend services using Python, FastAPI, and asynchronous programming.
- Implement authentication, authorization, entitlement controls, logging, monitoring, testing, and model output validation.
- Collaborate with stakeholders, architects, cloud engineers, and governance teams to deliver production-ready AI solutions.
- Create and maintain technical documentation, architecture designs, and operational procedures.
Requirements
- Bachelor's degree in Computer Science, Engineering, AI, or a related technical field, or equivalent experience.
- Strong hands-on experience with Python backend development.
- Proven experience building GenAI applications, LLM workflows, agentic systems, or AI-powered platforms.
- Experience with MCP concepts and implementations, including tools, resources, servers, and clients.
- Experience with LangChain, LangGraph, or similar orchestration frameworks.
- Strong understanding of RAG, embeddings, vector search, retrieval quality, and grounding techniques.
- Experience developing APIs using FastAPI, REST, and asynchronous Python.
- Knowledge of Git, testing frameworks, and cloud deployment practices.
- Experience with AWS and containerized applications.
- Understanding of enterprise security, authentication, authorization, and secrets management.
- Experience in banking, financial services, capital markets, or regulated environments is preferred.
- Preferred qualifications include AWS Bedrock, Claude models, financial data providers, vector databases, OpenTelemetry, observability, AI evaluation frameworks, prompt management, AI governance, model risk management, data privacy, regulatory controls, and investment banking workflows.
Benefits
- Base compensation is listed at $90,786-$107,298 per year, with possible additional variable compensation, bonuses, or commissions.
- Comprehensive benefits may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.
- The role is located in Whippany, New Jersey, with onsite/hybrid work from day one.
- Benefits are available to regular, full-time employees according to local policy and eligibility.
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.