Wordware

Compensation

Full Description

⚠️ 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