Enterprise GenAI & Agentic AI Engineer

Capgemini; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

Capgemini is hiring a GenAI / Agentic AI Developer in New York to design, build, and deploy enterprise-grade AI solutions powered by LLMs, RAG, and multi-agent architectures. You will implement vector search, embedding pipelines, and scalable APIs while ensuring security and business value.

The role emphasizes production-grade delivery, cloud-native deployments, and collaboration with stakeholders to deliver measurable outcomes across the business.

Qualifications

• 5+ years of hands-on Python development experience.
• Experience building GenAI or Agentic AI applications in enterprise environments.
• Experience with vector databases and Retrieval-Augmented Generation (RAG).

Responsibilities

• Design and develop GenAI solutions using LLMs, RAG, tool calling, and agent-based architectures.
• Build and orchestrate multi-agent workflows including planner, retriever, executor, validator, and human-in-the-loop patterns.
• Develop backend services and APIs using Python, FastAPI, Flask, REST APIs, and microservices.
• Design document ingestion, embedding generation, vector indexing, reranking, and retrieval pipelines.
• Deploy, monitor, and support GenAI applications using Docker, Kubernetes, CI/CD pipelines, and cloud platforms.

Skills

Python

GenAI development

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

LangGraph

LangChain

AutoGen

CrewAI

Semantic Kernel

LlamaIndex

Job description

Capgemini is hiring a GenAI / Agentic AI Developer in New York to design, build, and deploy enterprise-grade AI solutions powered by LLMs, RAG, and multi-agent architectures. You will implement vector search, embedding pipelines, and scalable APIs while ensuring security and business value.

The role emphasizes production-grade delivery, cloud-native deployments, and collaboration with stakeholders to deliver measurable outcomes across the business.