Senior Data Scientist - GenAI (LLM, RAG, LangGraph) - Immediate Joiners

Role Overview:

Senior Data Scientist

Key Responsibilities:

• Architect and implement end-to-end

  Generative AI solutions

  (e.g., RAG chatbots, AI-powered BI tools, code-generating agents)
• Develop intelligent agents using

  LangGraph

  or similar orchestration frameworks
• Build scalable data ingestion and retrieval pipelines leveraging

  LlamaIndex

  and related libraries
• Design and maintain high-performance

  vector databases

  for semantic search and information retrieval
• Integrate and benchmark

  multiple LLM providers

  (OpenAI, Gemini, Claude, etc.)
• Set up monitoring and observability systems using tools like

  LangSmith

  for real-time tracking of AI performance
• Work closely with engineering teams to

  productionize

  machine learning models and applications

Required Skills & Qualifications:

3–7 years total experience, with a minimum of 1 year focused on Generative AI

Generative AI Expertise:

• Practical experience with

  LangGraph

  or equivalent frameworks for agent orchestration
• Strong knowledge of

  LlamaIndex

  ,

  LangChain

  , or similar libraries for document processing
• Proficiency with

  vector databases

  (Pinecone, Chroma, Weaviate, etc.)
• Familiarity with LLM APIs from providers like

  OpenAI

  ,

  Anthropic

  , and

  Google

• Hands-on experience with

  LLM observability tools

  such as LangSmith, Weights & Biases
• Demonstrated ability to build

  natural language to SQL BI tools

• Proven experience in building

  RAG systems

  for contextual chatbot solutions
• Experience in developing

  code generation agents

  and LLM-based programming assistants

Traditional AI & Machine Learning:

• Solid foundation in ML techniques such as

  classification, regression, clustering, and time-series forecasting

• Proficiency with frameworks like

  scikit-learn

  ,

  TensorFlow

  , and

  PyTorch

• Experience in

  statistical analysis

  ,

  A/B testing

  , and

  experimental design

• Strong data handling skills, including

  feature engineering

  and

  preprocessing