Senior Data Scientist_GenAI (LLM, RAG, LangGraph) - Immediate Joiners

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 Responsibilities- Design 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 Skills- Hands-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 Have- Experience 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 (

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