GenAI Platform Engineer: Python, MCP & Agentic AI

Capgemini; New York (NY); Hybrid; USD 91,000 - 107,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a GenAI Platform Engineer in Whippany, NJ with onsite/hybrid from day one. Design, develop, and scale enterprise-grade Generative AI platforms for financial services workflows using Python and modern AI tooling.

You will build MCP integrations, RAG pipelines, and secure APIs, collaborating with architects, cloud engineers, and governance teams to deliver production-ready AI solutions with strong security and observability.

Qualifications

• Bachelor's degree in Computer Science, Engineering, AI, or a related 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 async Python.
• Knowledge of Git, CI/CD, 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 other regulated environments preferred.

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 including 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 internal and external data sources, including 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 business stakeholders, architects, cloud engineers, and governance teams to deliver production-ready AI solutions.
• Create and maintain technical documentation, architecture designs, and operational procedures.

Skills

Python backend

GenAI apps

LLM workflows

MCP concepts

LangChain

API development

AWS & containers

Cloud deployment

Education

Bachelor's degree in CS or related

Tools

FastAPI

OpenAI tooling

Git

CI/CD

AWS

Job description

Capgemini is seeking a GenAI Platform Engineer in Whippany, NJ with onsite/hybrid from day one. Design, develop, and scale enterprise-grade Generative AI platforms for financial services workflows using Python and modern AI tooling.

You will build MCP integrations, RAG pipelines, and secure APIs, collaborating with architects, cloud engineers, and governance teams to deliver production-ready AI solutions with strong security and observability.