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...
Apply for this Position
Ready to join Prosigliere? Click the button below to submit your application.
Submit Application