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Job Title:

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

Company: Grid Dynamics

Location: Belgaum, Karnataka

Created: 2025-09-23

Job Type: Full Time

Job Description:

Role Overview:We are seeking a highly skilledSenior Data Scientistwith hands-on experience inGenerative AIto 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-endGenerative AI solutions(e.g., RAG chatbots, AI-powered BI tools, code-generating agents) Develop intelligent agents usingLangGraphor similar orchestration frameworks Build scalable data ingestion and retrieval pipelines leveragingLlamaIndexand related libraries Design and maintain high-performancevector databasesfor semantic search and information retrieval Integrate and benchmarkmultiple LLM providers(OpenAI, Gemini, Claude, etc.) Set up monitoring and observability systems using tools likeLangSmithfor real-time tracking of AI performance Work closely with engineering teams toproductionizemachine learning models and applicationsRequired Skills & Qualifications: 3–7 years total experience, with a minimum of 1 year focused on Generative AIGenerative AI Expertise: Practical experience withLangGraphor equivalent frameworks for agent orchestration Strong knowledge ofLlamaIndex ,LangChain , or similar libraries for document processing Proficiency withvector databases(Pinecone, Chroma, Weaviate, etc.) Familiarity with LLM APIs from providers likeOpenAI ,Anthropic , andGoogle Hands-on experience withLLM observability toolssuch as LangSmith, Weights & Biases Demonstrated ability to buildnatural language to SQL BI tools Proven experience in buildingRAG systemsfor contextual chatbot solutions Experience in developingcode generation agentsand LLM-based programming assistantsTraditional AI & Machine Learning: Solid foundation in ML techniques such asclassification, regression, clustering, and time-series forecasting Proficiency with frameworks likescikit-learn ,TensorFlow , andPyTorch Experience instatistical analysis ,A/B testing , andexperimental design Strong data handling skills, includingfeature engineeringandpreprocessingNote:If you are matching on to the above job description & skills, please fill in your details on the below Form enclosed (

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