LLM Platform Engineer at whatnot

This role is ideal for a mid-to-senior software engineer (4+ years experience) who has pivoted into the AI/ML space. You should be a "builder" at heart, comfortable transitioning from Python-based production systems to the nitty-gritty of LLM infrastructure, specifically Retrieval-Augmented Generation (RAG) and evaluation frameworks. The compensation is highly competitive, offering a base salary up to $345k plus equity, which is top-of-market for mid-level talent. While listed as "on-site" in San Francisco, the company operates as a "remote co-located" team, offering a hybrid balance with hubs in major US cities and a generous suite of perks, including a home office allowance and "dogfooding" credits to shop on the platform. **You might be a good fit if you...** * Have built and scaled production-grade ML systems or data pipelines using Python and AWS. * Are experienced with RAG, vector databases, and creating CI/CD pipelines for LLM evaluation. * Thrive in high-growth startup environments where you own features from research to deployment. * Live within commuting distance of San Francisco, Los Angeles, Seattle, or New York.