GenAi with Anthropic MCP

Capgemini

4d • $90,000 - $135,000 • Hybrid

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Location- Charlotte, NC- HybridJob Description - We are seeking a hands-on Lead Developer with strong Generative AI and cloud native engineering expertise to build an MCP Model Context Protocol ecosystem and a production grade Anthropic chat pipeline via AWS Bedrock preferred or direct Anthropic API The ideal candidate has shipped real world AI applications using Lang Chain Lang Graph LLMs Bedrock and vector databases and can lead through architecture coding reviews and mentorship

Requirements

• strong Generative AI and cloud native engineering expertise
• build an MCP Model Context Protocol ecosystem and a production grade Anthropic chat pipeline via AWS Bedrock preferred or direct Anthropic API
• has shipped real world AI applications using Lang Chain Lang Graph LLMs Bedrock and vector databases
• can lead through architecture coding reviews and mentorship

Responsibilities

• MCP Architecture DevelopmentBuild MCP servers tools connecting LLMs with enterprise APIs databases and knowledge systemsDefine schemas permissions session lifecycles and reliable tool use patternsImplement strong observability tracing and error handling for MCP interactions
• Anthropic Chat BotDevelop multiturn orchestration with memory tool use function calling and RAGOptimize for latency reliability and cost via caching routing and token management
• RAG Knowledge IntegrationIntegrate Titan or similar embeddings with vector stores pg vector FAISS Pinecone MongoDB Atlas Vector SearchBuild scalable retrieval knowledge graph and query pipelines
• Backend Cloud EngineeringDevelop Python Fast API or equivalent services with REST streaming and Web SocketsBuild serverless or containerized applications using AWS Lambda S3 ECS Fargate SQS STSImplement secure least privilege IAM patterns
• Quality Safety ObservabilityImplement safety guardrails content filtering prompt injection defense PII redactionBuild evaluation harnesses offline online ABAdd tracing metrics latency cost token usage logging and alerting
• Collaboration LeadershipPartner with AIML product security and DevOps to deliver end-to-end featuresLead code reviews mentor engineers and improve engineering standards in Agile Scrum

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees