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

About the Role

We 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 (