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About the Role
Collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. Contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.
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.
Requirements
- 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.
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
- LangChain, LangGraph, Semantic Kernel, or similar AI development frameworks
- AI observability and evaluation frameworks
- Prompt optimization and AI response quality improvement
- Authentication, authorization, and security best practices for AI applications
- Deploying and managing production-grade AI solutions in cloud environments
- CI/CD pipelines, containerization, and scalable application architectures
Location
- Atlanta, GA
Work Type
- Hybrid
Experience Level
- 3+ years of software development experience
Education Level
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Salary/Compensations
- $68,911 to $161,544
Benefits
- 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
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
- Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.