About this role
Capgemini Engineering seeks an AI/LLM Senior Engineer in Bangalore to build LLM, retrieval-augmented generation (RAG), and agentic AI solutions for autonomous network operations. The posting describes the role as permanent and notes remote-work options and adaptable schedules, without specifying a work arrangement for this position.
Responsibilities
- Design and build LLM, RAG, and agentic AI solutions, including 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, root cause analysis, KPI analysis, incident summarization, and decision support.
Required experience and skills:
- At least 5 years in AI/ML, software, or data engineering, including at least 2 years developing LLM, RAG, semantic search, or agentic AI solutions.
- Strong Python programming and machine-learning fundamentals; experience with transformers, embeddings, and LLM architectures.
- Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar tools, plus 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.
The company also describes access to continuous learning opportunities and certifications in emerging cloud and AI technologies.
Skills for this role
PythonMachine LearningLarge Language ModelsRetrieval-Augmented GenerationAgentic AIMulti-agent workflowsLangChainLangGraphMCPLlamaIndexAutoGenSemantic searchVector searchGraph-based retrievalHybrid retrievalTransformersEmbeddingsVector databasesGraph databasesData pipelinesAIOpsPredictive analyticsKPI modelingTelecom operationsCloud-native deploymentRoot cause analysis