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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Platform Engineer (Python, MCP & Agentic AI) - **Company:** Capgemini - **Location:** Hanover, NJ, United States - **Salary:** $90,786.0 - $107,298.0 - **Contract:** Permanent contract - **Skills:** FactSet, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Cloud Computing, Continuous Integration, Python (Programming Language), Key Management, Search Technologies, Systems Integration, Data Logging, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Git, Fastapi, Containerization, Kubernetes, Information Technology, Search Engines, Virtual Agents, Asynchronous Programming, Api Design, Serverless Computing - **Published:** August 20, 2026 - **Apply:** https://www.capgemini.com/jobs/538531-en_US_SAPBTP/x/ ## About the Role * 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 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., * Experience with AWS Bedrock, Claude models, and managed GenAI services. * Experience integrating FactSet, Bloomberg, S&P Capital IQ, Refinitiv, Fitch, or similar data providers. * Knowledge of OpenSearch, Pinecone, pgVector, Weaviate, Chroma, or other vector databases. * Familiarity with OpenTelemetry, observability, AI evaluation frameworks, and prompt management. * Understanding of AI governance, model risk management, data privacy, and regulatory controls. * Exposure to investment banking workflows including IPOs, ECM, DCM, M&A, and advisory processes. ## Description We are seeking a highly skilled GenAI Platform Engineer to design, develop, and scale next-generation AI-powered solutions that support investment banking and financial services workflows. This role will focus on building enterprise-grade Generative AI platforms, agentic workflows, Model Context Protocol (MCP) integrations, Retrieval-Augmented Generation (RAG) capabilities, and secure backend services that enable business users to leverage AI solutions in a controlled, governed, and production-ready environment. The ideal candidate will have deep expertise in Python, GenAI architectures, LLM orchestration frameworks, MCP implementations, API development, cloud-native services, and financial data integrations., * 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. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)