<p><p><b>We are seeking a highly skilled Senior Data Scientist with hands-on experience in Generative AI to design, build, and deploy advanced AI solutions.</b> 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.</p><br/><p><b>Key Responsibilities :</b></p><br/><p>- Architect and implement end-to-end Generative AI solutions (e.g., RAG chatbots, AI-powered BI tools, code-generating agents)<br/><br/></p><p>- Develop intelligent agents using LangGraph or similar orchestration frameworks<br/><br/></p><p>- Build scalable data ingestion and retrieval pipelines leveraging LlamaIndex and related libraries<br/><br/></p><p>- Design and maintain high-performance vector databases for semantic search and information retrieval<br/><br/></p><p>- Integrate and benchmark multiple LLM providers (OpenAI, Gemini, Claude, etc.)<br/><br/></p><p>- Set up monitoring and observability systems using tools like LangSmith for real-time tracking of AI performance<br/><br/></p><p>- Work closely with engineering teams to productionize machine learning models and applications</p><br/><p><b>Required Skills & Qualifications :</b></p><br/><p>- 3 - 7 years total experience, with a minimum of 1 year focused on Generative AI</p><br/><p><b>Generative AI Expertise :</b></p><br/><p>- Practical experience with LangGraph or equivalent frameworks for agent orchestration<br/><br/></p><p>- Strong knowledge of LlamaIndex, LangChain, or similar libraries for document processing<br/><br/></p><p>- Proficiency with vector databases (Pinecone, Chroma, Weaviate, etc.)<br/><br/></p><p>- Familiarity with LLM APIs from providers like OpenAI, Anthropic, and Google<br/><br/></p><p>- Hands-on experience with LLM observability tools such as LangSmith, Weights & Biases<br/><br/></p><p>- Demonstrated ability to build natural language to SQL BI tools<br/><br/></p><p>- Proven experience in building RAG systems for contextual chatbot solutions<br/><br/></p><p>- Experience in developing code generation agents and LLM-based programming AI & Machine Learning :</b></p><p><b><br/></b></p><p>- Solid foundation in ML techniques such as classification, regression, clustering, and time-series forecasting<br/><br/></p><p>- Proficiency with frameworks like scikit-learn, TensorFlow, and PyTorch<br/><br/></p><p>- Experience in statistical analysis, A/B testing, and experimental design<br/><br/></p><p>- Strong data handling skills, including feature engineering and preprocessing</p><br/></p> (ref:hirist.tech)