Gen AI Engineer

About the role

Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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.

Pay

The base compensation range for this role in the posted location is: 80420 - 106050 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibility