Key ResponsibilitiesDesign and build LLM, RAG, and agentic AI solutions for autonomous network operations.Develop multi-agent workflows using LangChain, LangGraph, MCP, or similar frameworks.Implement semantic, vector, graph-based, and hybrid retrieval systems.Create AI agents for fault diagnosis, RCA, KPI analysis, incident summarization, and decision support.Required Experience5+ years in AI/ML, software, or data engineering.2+ years developing LLM, RAG, semantic search, or agentic AI solutions.Strong Python programming and ML fundamentals.Experience with transformers, embeddings, and LLM architectures.Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar.Experience with vector databases, graph databases, and data pipelines.Knowledge of AIOps, predictive analytics, KPI modeling, and telecom operations.Experience deploying AI applications in cloud-native environments.We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.You'll have access to continuous learning opportunities and certifications in emerging technologies like cloud and AI.At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.
2 days ago