Role Overview :
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 AI
Generative 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 assistantsTraditional 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 preprocessingNote : If you are matching on to the above job description & skills, please fill in your details on the below Form enclosed (https : / / forms.gle / bUyXMBhgSxxBZVeK9)