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