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. It’s a "builder" role focused on infrastructure rather than just research. You should have a heavy Python background and experience deploying production-grade consumer systems, specifically involving RAG (Retrieval-Augmented Generation) and LLM evaluation frameworks. The compensation is highly competitive, starting at $245k base plus equity and a 4% 401k match. While the role is listed as "Remote co-located," you must live within commuting distance of San Francisco, Los Angeles, Seattle, or New York for in-person collaboration. Notable perks include a "dogfooding" budget to buy items on the platform and a generous 16-week parental leave policy. **You might be a good fit if you...** * Have built and scaled RAG systems and LLM pipelines in a production environment. * Are proficient with the AWS ecosystem (SageMaker, Lambda, EKS) and vector/NoSQL databases. * Want to own the end-to-end infrastructure for AI features like recommendations and fraud detection. * Enjoy "startup speed" but want the stability of a high-growth, well-funded marketplace.