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Please read first
- This is a full-time, in-person role based in San Francisco (Presidio) - we work from the office 5 days a week.
- You must be based in the Bay Area or willing to relocate before starting.
- We require US work authorisation , but are open to O-1 visa sponsorship for truly exceptional candidates.
Full Stack Engineer
What You’ll Do
You’ll write and ship full-stack features end to end — from frontend UI, to backend logic, to the database and infra.
We’re still a small team, and the product is early — you won’t just be building features; you’ll help shape the trajectory of the company and the future of AI development.
Here are a few examples of the kinds of things you might work on:
- Build a real-time, multiplayer IDE for AI development — think Google Docs meets VSCode, powered by Y.js and TipTap.
- Extend our executor: a custom runtime that turns natural language into live, traceable agent workflows with pause/resume and retries.
- Design the “GitHub for AI” — an interface for exploring, remixing, and sharing agents and flows with versioning and collaborative editing.
- Talk to users, debug live issues, and ship fixes fast — often the same day.
- Make product calls in the moment when things are ambiguous, and help shape the platform we’re building.
- ${your ideas}.
Stack
TypeScript, React, Next.js, Node.js, PostgreSQL, Cloudflare Workers, Durable Objects, Y.js, and TipTap.
Who You Are
Minimum
- You have 4+ years of engineering experience , with a strong track record of shipping real products.
- You’re fluent in TypeScript and comfortable working across the stack — frontend, backend, and database.
- You’ve built and owned complex full-stack systems end to end, not just small pieces.
- You’re comfortable with ambiguity , unblock yourself, and make progress without waiting on perfect specs.
- You enjoy working in a fast-paced, high-trust startup environment and like wearing multiple hats.
Bonus (but not required)
- You’ve worked with our stack: React, Next.js, Node.js, PostgreSQL, Cloudflare Durable Objects.
- You’ve built or integrated with LLM-based tools and have hands-on experience with AI workflows.
- You’ve been a founder or early-stage engineer before, and care deeply about product.
The Process
We keep our process simple. Exceptional candidates go from first touch to offer within
2 weeks.
- Application
- 15-minute intro call
- 45-minute technical interview
- System design interview
- Final conversation
- Work trial
