LLM Platform Engineer at whatnot

This role is designed for a seasoned engineer with a strong foundation in both software engineering and machine learning production (MLOps). The ideal candidate has at least 4 years of experience building scalable ML systems and is proficient in Python. You should be comfortable moving between infrastructure and product, specifically focusing on RAG (Retrieval-Augmented Generation), evaluation frameworks, and human-in-the-loop pipelines. The compensation is highly competitive, topping out at $320,000 base salary plus equity. While technically a "remote co-located" team, you must live within commuting distance of their hubs in SF, LA, NYC, or Seattle for in-person collaboration. Standout perks include a 4% 401k match, 16 weeks of parental leave, and a unique "dogfooding" budget to buy and sell on the platform. **You might be a good fit if you...** * Have built and maintained high-traffic production systems using AWS, Python, and SQL/NoSQL databases. * Are excited about the "platform" side of AI—setting up CI/CD for LLMs and ensuring model reliability. * Enjoy working autonomously in a fast-paced, entrepreneurial environment where you own features from research to deployment. * Prioritize business impact and "leaning into action" over academic perfection.