Design and build intelligent AI coaching systems that plan, adapt, and personalize workouts in real time
Develop AI agents and recommendation engines that combine structured user data, health signals, and fitness science principles
Build multi-step reasoning pipelines, retrieval systems, evaluation frameworks, monitoring, and guardrails
Ensure our AI coach performs reliably in production and continuously improves over time

Strong Python skills
Solid software engineering fundamentals
you ship production code, not just prototypes
Experience building AI agents
tool orchestration, multi-step workflows, context management, retrieval systems
Experience building recommendation or scoring systems on structured data
collaborative filtering, calibration, rule-based systems, or hybrid approaches
Strong analytical instincts
you can define what 'correct' means for a subjective recommendation, design metrics that reflect user experience, and spot when a metric is lying to you
You've fine-tuned or distilled language models to hit cost and latency targets
You know how to make retrieval work
embeddings, vector search, and semantic similarity
Experience with classification and regression on structured data
user health signals are messy and continuous
Ready to learn a new domain deeply
you'll pick up exercise physiology, recovery science, and training principles on the job
Nice to have skills: experience building multi-agent systems, background in health, fitness, or wellness, experience with active learning or human-in-the-loop workflows, experience with time-series analysis or forecasting (fitness data is mostly sequences over time), background in ML ops
model versioning, serving infrastructure, pipeline orchestration

AI Engineer

Key skills