3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design 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, root-cause analysis, KPI analysis, incident summarization, and decision support.
Requirements
- Require 5+ years of experience in AI/ML, software, or data engineering.
- Require 2+ years of experience developing LLM, RAG, semantic search, or agentic AI solutions.
- Require strong Python programming and ML fundamentals.
- Require experience with transformers, embeddings, and LLM architectures.
- Require hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar frameworks.
- Require experience with vector databases, graph databases, and data pipelines.
- Require knowledge of AIOps, predictive analytics, KPI modeling, and telecom operations.
- Require experience deploying AI applications in cloud-native environments.
Benefits
- Remote work options and adaptable schedules are available.
- The company offers an inclusive, collaborative work culture and continuous learning opportunities and certifications in cloud and AI.
- Job location is PAN India, with an immediate joining window of 0–60 days stated.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.