About the RoleWe are seeking an experienced Data Scientist skilled in Generative AI, RAG systems, and microservices architecture. You will design and deploy AI-powered solutions such as RAG chatbots, LLM-driven BI tools, and coding agents, leveraging frameworks like LangGraph, LlamaIndex, and LangChain.Key ResponsibilitiesDesign and implement end-to-end Generative AI solutions (RAG chatbots, BI assistants, coding agents).Develop and deploy AI agents using frameworks like LangGraph or similar tools.Build data ingestion and retrieval pipelines with LlamaIndex/LangChain.Manage and optimize vector databases (Pinecone, Weaviate, Chroma).Integrate multiple LLM providers (OpenAI, Gemini, Anthropic) and evaluate performance.Establish observability and monitoring using LangSmith or Weights & Biases.Collaborate with engineering teams to productionize AI models within microservices.Required SkillsHands-on with LangGraph, LlamaIndex, or LangChain.Experience in RAG systems, LLM BI, and code generation agents.Knowledge of vector databases and LLM APIs (OpenAI, Claude, Gemini).Strong proficiency in Python and ML fundamentals (clustering, regression, forecasting).Familiarity with scikit-learn, PyTorch, TensorFlow.Experience with Docker, Kubernetes, and API-based deployments.Working knowledge of LLM observability tools and AI evaluation frameworks.Good to HaveExperience with fine-tuning, self-hosting LLMs, or transformer models (BERT, YOLO).Exposure to MLOps tools (MLflow, W&B, TensorBoard).Cloud certifications (AWS, GCP, Azure).Understanding of prompt engineering, data security, and AI system evaluation.Note: If you are matching on to the above job description & skills, please fill in your details on the below Form enclosed (
Job Title
Senior Data Scientist_GenAI (LLM, RAG, LangGraph) - Immediate Joiners