> Markdown version of [/jobs/ext/553390-gen-ai-agentic-ai-developer](https://www.wearedevelopers.com/jobs/ext/553390-gen-ai-agentic-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI / Agentic AI Developer - **Company:** Capgemini - **Location:** Charlotte, NC, United States - **Salary:** $80,420.0 - $106,050.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Graph Database, Python (Programming Language), Neo4j, Named Entity Recognition, Cloud Services, Search Technologies, Software Construction, Unstructured Data, Data Logging, Enterprise Software Applications, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Fastapi, Kubernetes, Machine Learning Operations, Virtual Agents, Restful APIs, Software Version Control, Docker, Microservices - **Published:** June 14, 2026 - **Apply:** https://dejobs.org/x/x/B6AEC24422AB492F95715952C003F4B2/job/ ## About the Role * Strong hands-on experience in Python development. * Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Gemini, Llama, or Mistral. * Hands-on experience with at least one agentic framework: LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex. * Good understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering. * Experience with vector stores such as OpenSearch, Pinecone, FAISS, Chroma, Weaviate, Milvus, Azure AI Search, or pgvector. * Knowledge of REST APIs, cloud deployment, Docker, CI/CD, and software engineering best practices. * Ability to work with structured and unstructured data including PDFs, documents, APIs, databases, and knowledge bases. Preferred Skills * Experience with multi-agent orchestration, tool calling, memory, planning, reflection, and evaluation. * Exposure to MCP, Graph RAG, Neo4j, knowledge graphs, or entity extraction. * Knowledge of LLMOps tools such as LangSmith, MLflow, Phoenix, Ragas, TruLens, Arize, or OpenTelemetry. * Experience with AWS Bedrock/SageMaker, Azure OpenAI/AI Search, or GCP Vertex AI. * Understanding of AI guardrails, prompt injection prevention, PII masking, access control, and responsible AI. Must-Have * Candidate should be able to clearly explain at least one end-to-end GenAI / Agentic AI project, including problem statement, architecture, tools used, deployment approach, evaluation method, and business impact ## Description * We are looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases., * Build GenAI applications using LLMs, RAG, agents, and tool-calling workflows. * Develop agentic solutions using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex. * Design and implement multi-agent workflows such as planner, retriever, executor, validator, and human-in-the-loop agents. * Build backend APIs using Python, FastAPI, Flask, REST APIs, and microservices. * Integrate AI agents with enterprise systems, databases, APIs, document repositories, and cloud services. * Implement document ingestion, embeddings, vector search, reranking, and retrieval pipelines. * Deploy and monitor GenAI applications using Docker, Kubernetes, CI/CD, and cloud platforms. * Support LLMOps including prompt/version management, model evaluation, monitoring, logging, and cost tracking ## Related Videos - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [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) ## Related Articles - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)