AI Engineer (Fullstack)

About the role

You'll build the AI systems that power taste evals, tooling, data collection, API and RL environments - from agent architectures and data pipelines to the product surfaces where users interact with our platform. The work skews backend (synthetic data, embeddings, crawling, evaluation systems) but you'll also ship front-end tooling and gamified experiences when needed. Early stage, high ownership, lots of building from scratch.

Types of problems you’d work on

Craft agent harnesses, memory and self-improvement loops

Design evaluation pipelines and synthetic data generation

Eval design and grading of unverifiable domains

Create embedding and retrieval infrastructure that scales to millions of requests

Build crawling and scraping systems for visual data across the web

Set up inference serving and APIs for client-facing products

Develop the tooling and infrastructure that makes everything reliable and fast

Ship internal tools for data operations and external tools for expert annotators

Build gamified product experiences: taste quizzes, leaderboards, reward flows

What matters to us

Startup DNA: You've built at early-stage companies (pre-seed to Series C) and operate well in ambiguity

Real AI building experience: You've shipped agent systems, built with LLMs, and understand the craft - whether through your job, open source, or serious personal projects.

Genuine curiosity about taste: This problem is hard, nuanced and undefined. You find that energizing, not frustrating.

Creative problem-solving: We're not optimizing existing systems. We're inventing infrastructure for something that doesn't exist yet.

Bonus points

Open source contributions or personal projects that show you build things because you're curious

Background at creative companies (Figma, Notion, Canva, Adobe, Runway, etc.) or companies with strong index building/crawling (e.g. Firecrawl, Brave, Luma, Pika) or data (Mercor, Surge, etc.)