Search
Go
GenAI / Agentic AI Developer
Summary by AIEngineer.careers
GenAI / Agentic AI Developer is a AI Agent Engineer role (full-time). with capgemini. in NEW YORK, US. Compensation shown: $105K–$115K. Imported listing (source: canarywharfian.co.uk). Apply on the employer's site (canarywharfian.co.uk).
Imported listing (source: canarywharfian.co.uk) · Apply on canarywharfian.co.uk
NEW YORK · US
$105K–$115K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from canarywharfian.co.uk
Capgemini is looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise clients. The role involves developing multi-agent systems, integrating agents with enterprise systems, and deploying GenAI apps with strong MLOps practices. Requires Python expertise and experience with major LLM providers and agentic frameworks.
Responsibilities
- Build Gen AI 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 Gen AI applications using Docker, Kubernetes, CI/CD, and cloud platforms.
- Support LLM Ops including prompt/version management, model evaluation, monitoring, logging, and cost tracking.
Requirements
capgemini
Paris · FR · 420000+ employees
Capgemini is a global leader in business and technology transformation, delivering end-to-end services from strategy and design to engineering and operations. The group leverages AI, cloud, data, and deep industry expertise to help organizations accelerate their transition to digital and sustainable models.
