Job Description
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We're looking for a Senior ML/AI Engineer to own and evolve our LLM-powered user experience. You'll work directly with our technical co-founder to build, optimize, and monitor agent systems that parse workout descriptions, provide scaling recommendations, and enable conversational data retrieval - all with production‑grade accuracy and speed.
This is a hands‑on role focused on the ML/AI engineering side: prompt engineering, model optimization, agent orchestration, and continuous improvement based on real‑world usage patterns.
What You’ll Do Core Responsibilities- Own the workout parsing system: improve accuracy of our fine‑tuned model (currently Qwen‑based) that converts natural language workout descriptions into structured schemas
- Design and implement agent workflows for workout scaling recommendations and performance tracking
- Build observability workflows using Langfuse ...
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