AI Engineer (Back-end)

You'll build the AI systems that power taste agent harnesses, memory, evals, tooling, data collection, index, search, graph, crawling, scraping, security and more. Types of problems you’d work on

Craft agent harnesses, memory and self-improvement loops

Design evaluation pipelines and synthetic data generation

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

Manage security sweeps vulnerability mapping

Develop the tooling and infrastructure that makes everything reliable and fast

What matters to us

Deeply technical: you’re deeply opinionated about what good code means, you have an AI-forward setup while being anti-slop, you care deeply about the craft.

You’re creative and have genuine curiosity about ‘taste’ and making subjective domains verifiable

You have startup DNA: you move fast, adapt, no such thing as ‘not in scope’, you like ambiguous, hard problems

AI experience: you need experience building AI forward products, systems, agents, models and more.

You care about arriving at the simple, clear solution vs. the complex one

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.)