We're looking for an AI engineer who can own the full stack from raw data to shipped models. Someone who is strong across ML, data infrastructure, and LLM-powered features, and knows how to move fast without cutting corners on reliability.
What You'll Do
Build and improve the matching engine using ML models and embeddings
Design and maintain data pipelines that feed model training and product features
Ship LLM-powered features into the product using frontier models
Own evals and monitoring so models don't silently degrade
Work directly with founders to identify the highest-leverage AI bets
You
3+ years across ML, data engineering, or AI systems in production
Strong Python and SQL fundamentals
Experience with LLM APIs, embeddings, RAG, or agentic patterns
Comfortable owning data pipelines alongside modeling work
Startup or founding team experience preferred
Previous founder a bonus
Competitive compensation, high equity up to 15%
Fully remote (US, Canada, Europe, UK)