JOB-2019

A seed-stage AI startup focused on how models learn and judge subjective, creative quality is hiring a full-stack engineer with an AI-first mindset. Most of the work leans backend, with front-end tooling when needed, in an environment where nearly everything gets built from scratch.

What you’ll build

  • Agent frameworks with memory and self-improving behavior
  • Pipelines that evaluate model output and produce artificial training data, including grading in areas that lack objectively right answers
  • Vector and retrieval infrastructure designed for very heavy request volumes
  • Crawlers and scrapers that collect visual data from across the web
  • Model-serving layers and APIs behind customer-facing products
  • Internal data-operations tools and interfaces for expert annotators, plus gamified experiences such as quizzes, leaderboards and reward mechanics

Who fits

  • Four or more years in full-stack or AI software engineering
  • Hands-on delivery of LLM-based or agent systems, demonstrated at work, in open source or through serious side projects, with exposure to context engineering, embeddings and index building
  • Experience on user-facing AI products or at an AI-native company
  • Experience at young companies, from the earliest funding rounds through Series C, and comfort with ambiguity
  • Strength in React, TypeScript and Python
  • Real curiosity about design, creativity and subjective preference
  • A plus: open source work or side projects, or time at creative-tools, crawling or data companies

On-site in the San Francisco Bay Area. Visa transfers considered.