AI Engineer (Backend)
- Location
- San Francisco
- Workplace
- On-site
- Compensation
- $175k – $275k + equity
About this role
About the role
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 companies with strong index building/crawling (e.g. Firecrawl, Brave, Luma, Pika) or data (Mercor, Surge, etc.)
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Know someone who'd be great for this?

