Gen AI/Agentic AI Developer
Job in
Columbia, Richland County, South Carolina, 29209, USA
Listed on 2026-06-14
Listing for:
Capgemini Holding Inc
Full Time
position Listed on 2026-06-14
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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.
Job Location - NYC NY / Charlotte NC (Day One Onsite - Hybrid)
Interview Process
* Candidates must be based in or willing to travel to Chicago IL, New York City NY, Atlanta GA, or Charlotte NC, as the interview process includes an in-person round
About
The Role
* 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.
Key Responsibilities
* Build GenAI applications using LLMs, RAG, agents, and tool-calling workflows.
* Develop agentic solutions using Lang Chain, Lang Graph, Auto Gen, CrewAI, Semantic Kernel, or Llama Index.
* 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
Required Skills
* 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:
Lang Graph, Lang Chain, Auto Gen, CrewAI, Semantic Kernel, or Llama Index.
* Good understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering.
* Experience with vector stores such as Open Search, 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 Lang Smith, MLflow, Phoenix, Ragas, Tru Lens, Arize, or Open Telemetry.
* Experience with AWS Bedrock/Sage Maker, 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
Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
* Flexible work
* Healthcare including dental, vision, mental health, and well-being programs
* Financial well-being programs such as 401(k) and Employee Share Ownership Plan
* Paid time off and paid holidays
* Paid parental leave
* Family building benefits like adoption assistance, surrogacy, and cryopreservation
* Social well-being benefits like subsidized back-up child/elder care and tutoring
* Mentoring, coaching and learning programs
* Employee Resource Groups
* Disaster Relief
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.
This is a general description of the Duties, Responsibilities and…
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