Responsibilities: • Lead development of AI POC’s, powering chat-bots and LLM-based assistants for customers and internal use. • Fine-tune and deploy language models locally, design RAG approaches (vector search, knowledge retrieval), and agentic systems. • Develop intelligence evaluation processes, to determine quality of LLM response. • Work with product and technology teams to define chat flows, response quality metrics, continuous improvement. • Mentor junior data scientists, contribute to the architecture of the AI development stack. Skills & Qualifications: • Masters in CS/ML/AI or a related field • Strong Python experience; familiarity with modern AI tooling and frameworks such as LangChain, LangFuse, vector databases, and LLM orchestration libraries • Experience in RAG, embedding models, transformers & vector databases • Experience deploying AI or ML models in production, working with microservices • Knowledge of cloud platforms (Azure) and ML Ops practices • Familiarity with conversational AI/chatbots • Strong communication skills; ability to translate business goals into AI solutions • Stakeholder management, able to work and influence senior leaders • Demonstrated ability to work collaboratively • Be able to interact with diverse groups of technical and non-technical people