Tech Lead, Data Scientist (LLM)

This role involves designing, building, and evolving a production-grade AI assistant experience. The position requires operating at the intersection of data science, applied machine learning, LLM system design, experimentation, and product delivery. The individual will translate ambiguous product problems into deployable ML/LLM systems while collaborating with product managers and engineers.

Own end-to-end design and development of LLM-based systems, from problem framing and solution design through deployment, iteration, and long-term improvement.

Translate open-ended product or user problems into robust ML / LLM solutions that balance quality, latency, reliability, maintainability, and cost.

Design and improve production AI workflows involving areas such as retrieval, reasoning, orchestration, tool use, memory, ranking, personalization, or multi-step task execution.

Build evaluation frameworks, testing approaches, and monitoring mechanisms to assess model quality, failure modes, system behavior, and production performance.

Run structured experiments and use real-world feedback, behavioral signals, and performance metrics to improve model and system outcomes over time.

Strong hands-on experience in Data Science, Applied Machine Learning, or a closely related technical field, with ownership of production systems.

Experience building and operating real-world LLM systems in production, including areas such as RAG, agent or tool orchestration, prompt or context design, memory handling, or system-level evaluation.

Strong foundation in machine learning, statistics, experimentation, modeling, feature engineering, and analytical problem solving.

Demonstrated ability to move from ambiguity to implementation by designing practical solutions for evolving product or business problems.

Experience working closely with product managers and software engineers to take AI systems from concept to production.