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 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.

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: 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.

Benefits

Flexible work arrangements.

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 advantages like subsidized back‑up child/elder care and tutoring.

Mentoring, coaching and learning programs.

Employee Resource Groups.

Disaster Relief support.

Compensation
Base salary range for the tagged location is $80,420 to $106,050 per year. The role may also be eligible for variable compensation, bonus, or commission in addition to benefits such as paid time off, medical/dental/vision insurance, and 401(k).

Equal Opportunity Employer
Capgemini is an Equal Prospect Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

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📌 Gen AI / Agentic AI Developer (British Columbia)
🏢 Capgemini
📍 British Columbia