AI Platform Engineer: MCP, RAG & LLM Solutions

Capgemini; Atlanta (GA); On-site; USD 56,000 - 90,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Retirement benefits

Job summary

Capgemini is seeking a hands-on AI Engineer in Atlanta, GA to enhance an AI platform built on Claude Sonnet and MCP. This contract role focuses on improving AI agents, MCP tools and servers, enterprise integrations, and platform quality, performance, security, and scalability.

You will work on MCP-based applications, expand core capabilities, and ensure production readiness through monitoring, logging, and risk controls, while collaborating with cross-functional teams.

Qualifications

• 3+ years of software development experience with Python and/or TypeScript/Node.js.
• Hands-on experience building LLM / Generative AI applications.
• Strong debugging, problem-solving, and communication skills.
• Knowledge of MCP (Model Context Protocol), AI agents, and tool calling.
• Experience with Claude, OpenAI, or similar LLM platforms.
• Experience integrating APIs, databases, and enterprise applications.
• Knowledge of RAG, vector databases, embeddings, and prompt engineering.

Responsibilities

• Enhance and maintain MCP-based AI applications and agents.
• Develop and improve MCP servers, tools, and integrations.
• Integrate AI solutions with APIs, databases, and knowledge repositories.
• Improve prompt engineering, context management, and response accuracy.
• Build and optimize RAG solutions.
• Implement monitoring, logging, security controls, and performance improvements.
• Troubleshoot AI agent behavior, tool execution, and platform issues.
• Support deployment, testing, and continuous enhancement of AI capabilities.

Skills

Python

TypeScript/Node.js

LLM / Generative AI

Tools

Claude Sonnet

OpenAI

LangChain

LangGraph

Semantic Kernel

Job description

Capgemini is seeking a hands-on AI Engineer in Atlanta, GA to enhance an AI platform built on Claude Sonnet and MCP. This contract role focuses on improving AI agents, MCP tools and servers, enterprise integrations, and platform quality, performance, security, and scalability.

You will work on MCP-based applications, expand core capabilities, and ensure production readiness through monitoring, logging, and risk controls, while collaborating with cross-functional teams.