GenAI Platform Engineer — Scale AI Workflows (Hybrid)

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

Job summary

Capgemini is seeking a highly skilled GenAI Platform Engineer to design, develop, and scale enterprise-grade AI-powered solutions for investment banking and financial services workflows. You will build Python-based GenAI services, MCP integrations, and reusable platform components, while ensuring secure, production-grade APIs and backend services.

The role requires strong Python backend development, experience with GenAI architectures, LLM workflows, and orchestration frameworks such as

Qualifications

• Strong 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.
• Familiarity with LangChain, LangGraph, or similar orchestration frameworks.
• Deep understanding of RAG, embeddings, vector search, grounding, and retrieval quality.
• 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.

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

GenAI

MCP

LangChain

LangGraph

LLM orchestration

API development

AWS

Security/compliance

Education

Bachelor's degree in CS or related field

Tools

FastAPI

REST

Async Python

AWS

CI/CD

Git

OpenSearch/Vector DBs

Job description

Capgemini is seeking a highly skilled GenAI Platform Engineer to design, develop, and scale enterprise-grade AI-powered solutions for investment banking and financial services workflows. You will build Python-based GenAI services, MCP integrations, and reusable platform components, while ensuring secure, production-grade APIs and backend services.

The role requires strong Python backend development, experience with GenAI architectures, LLM workflows, and orchestration frameworks such as