- Architect and build enterprise-grade AI and conversational systems that power coaching workflows and user experiences.
- Develop, evaluate, and refine LLM-based components, balancing performance, scalability, and reliability.
- Integrate and manage diverse sources of structured and unstructured data to improve contextual understanding and output quality.
- Partner closely with product, engineering, and design to translate user needs into impactful technical solutions.
- Rapidly prototype and iterate on systems that span backend services, data pipelines, and frontend interactions.
- Build tooling, tests, and automation to support reliable model deployment, observability, and continuous improvement.
- Streamline data and science workflows to enable fast experimentation and data-driven decisions.
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