We are seeking a highly skilled Senior Data Scientist with hands-on experience in Generative AI to design, build, and deploy advanced AI solutions. This role involves working on cutting-edge projects like RAG-based chatbots, LLM-driven BI systems, and autonomous coding agents. You will collaborate cross-functionally with engineering teams to turn AI prototypes into scalable production systems.
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 AIGenerative AI Expertise :
Practical experience with LangGraph or equivalent frameworks for agent orchestrationStrong knowledge of LlamaIndex, LangChain, or similar libraries for document processingProficiency with vector databases (Pinecone, Chroma, Weaviate, etc.)Familiarity with LLM APIs from providers like OpenAI, Anthropic, and GoogleHands-on experience with LLM observability tools such as LangSmith, Weights & BiasesDemonstrated ability to build natural language to SQL BI toolsProven experience in building RAG systems for contextual chatbot solutionsExperience in developing code generation agents and LLM-based programming AI & Machine Learning :Solid foundation in ML techniques such as classification, regression, clustering, and time-series forecastingProficiency with frameworks like scikit-learn, TensorFlow, and PyTorchExperience in statistical analysis, A / B testing, and experimental designStrong data handling skills, including feature engineering and preprocessing(ref : hirist.tech)