Location

This role is a Hybrid opportunity based in Atlanta, GA

About the job you're considering

At Capgemini, you will collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. You will contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.

Overview

We are seeking a hands-on AI Engineer to enhance, optimize, and scale our existing AI platform built on Claude Sonnet and Model Context Protocol (MCP). The ideal candidate will be responsible for improving AI agents, MCP tools, enterprise integrations, response quality, system performance, security, and overall platform scalability. This role requires strong technical expertise in Generative AI, agentic workflows, and enterprise system integration.

Key responsibilities

• Enhance, maintain, and optimize MCP-based AI applications and intelligent agents.
• Design, develop, and improve MCP servers, tools, and integrations.
• Integrate AI solutions with enterprise systems, APIs, databases, and knowledge repositories.
• Improve prompt engineering strategies, context management, and AI response accuracy.
• Design, develop, and optimize RAG (Retrieval-Augmented Generation) solutions.
• Implement monitoring, logging, observability, and security controls across AI applications.
• Troubleshoot AI agent behavior, tool execution issues, and platform performance bottlenecks.
• Support deployment, testing, maintenance, and continuous enhancement of AI capabilities.
• Collaborate with cross-functional teams to deliver scalable and reliable AI-powered solutions.
• Ensure compliance with enterprise security, authentication, and access control standards.

Required Qualification

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 3+ years of software development experience using Python and/or TypeScript/Node.js.
• Hands-on experience building and deploying LLM-based or Generative AI applications.
• Strong understanding of Model Context Protocol (MCP), AI agents, tool calling, and agent orchestration.
• Experience working with Claude, OpenAI, or similar Large Language Model (LLM) platforms.
• Experience integrating AI applications with APIs, databases, and enterprise systems.
• Solid knowledge of RAG architectures, vector databases, embeddings, and prompt engineering.
• Strong debugging, analytical, problem-solving, and communication skills.

Required Skills

• Python
• TypeScript / Node.js
• Claude Sonnet / OpenAI / LLM Platforms
• Model Context Protocol (MCP)
• AI Agents & Tool Calling
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases & Embeddings
• API Development & Integration
• Enterprise System Integration
• Monitoring & Logging
• AI Application Security

Preferred Skills

• Experience with LangChain, LangGraph, Semantic Kernel, or similar AI development frameworks.
• Knowledge of AI observability and evaluation frameworks.
• Experience with prompt optimization and AI response quality improvement.
• Understanding of authentication, authorization, and security best practices for AI applications.
• Experience deploying and managing production-grade AI solutions in cloud environments.
• Familiarity with CI/CD pipelines, containerization, and scalable application architectures.

The base compensation range for this role in the posted location is: $68,911 to $161,544

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility