AI Engineer (NLP)

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 model performance issues
• Optimize agent response latency while maintaining accuracy across our tool-based reasoning system
• Collaborate on agent architecture decisions, including potential migration to frameworks like DSPy
• Ship production features : workout entry system, scaling recommendations, and score reporting

What We’re Looking For

Required

Strongly Preferred :

Success in First 6 Months