Join Capgemini as an AI/LLM Engineer and contribute to innovative solutions for autonomous network operations. Empower yourself in a collaborative global environment and help leading Consumer Products and Retail Services organizations leverage technology for sustainable growth. Discover opportunities to shape your career with a world leader in engineering services.

Capgemini Engineering, a global leader in engineering services, brings together diverse talent to drive innovation across industries. We offer a dynamic career path where you can make a significant impact and experience unique challenges daily. Join us to unleash human energy through technology, fostering an inclusive and sustainable future.

Design and implement cutting-edge LLM, RAG, and agentic AI solutions for autonomous network operations. Develop sophisticated multi-agent workflows using frameworks like LangChain and LangGraph. Build and optimize semantic, vector, graph-based, and hybrid retrieval systems. Create intelligent AI agents to perform fault diagnosis, root cause analysis, KPI analysis, incident summarization, and decision support.

A strong foundation in AI/ML, software, or data engineering with over 5 years of experience is essential. Demonstrated expertise with at least 2 years focused on LLM, RAG, semantic search, or agentic AI solutions. Proficiency in Python programming and core ML principles. Familiarity with transformer architectures, embeddings, and LLM models. Hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or MCP. Experience managing vector databases, graph databases, and robust data pipelines. Knowledge of AIOps, predictive analytics, KPI modeling, and telecom operations is advantageous. Proven ability to deploy AI applications within cloud-native environments.