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Senior AI Platform Engineer
Leads the platform group inside Capgemini's New Co AI-native product unit, owning the agentic AI floor (model gateway, agent runtime, evals, guardrails) and shared services powering insurance-claims, payments, and health products. Hands-on with Kubernetes, LLM serving/fine-tuning, LangGraph/LangSmith, PostgreSQL/pgvector, ClickHouse, and Neo4j.
GenAI / Agentic AI Developer
Capgemini is hiring a hands-on GenAI/Agentic AI Developer in New York to design, build, and deploy enterprise LLM, RAG, and multi-agent solutions. Day-to-day work spans Python backend APIs, agent orchestration, vector search pipelines, and LLMOps with Docker/Kubernetes on cloud platforms. US work authorization without sponsorship is required.
GenAI Platform Engineer (Python, MCP & Agentic AI)
Capgemini is hiring a GenAI Platform Engineer (onsite/hybrid in Whippany, NJ) to build enterprise generative AI platforms supporting investment banking workflows. Day-to-day work centers on Python/FastAPI backend services, MCP servers and clients, agentic orchestration, and RAG pipelines deployed on AWS.
Devops Engineer (GCP)
A mid-to-senior DevOps engineer (6+ years) managing GCP cloud infrastructure at Capgemini's Bangalore office: building IaC with Terraform, CI/CD with GitHub Actions, containerizing apps with Docker/Kubernetes, and handling monitoring, DevSecOps, cost governance, and multi-region reliability.