AI Engineer, Full-Stack (Seed-Stage Creative AI)

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.