Job Description

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 to identify and systematically address...

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