AI Product Engineer

• 3–8 years shipping zero-to-one or hyper-growth products in fast-paced, product-driven teams

• At least one live, LLM-powered feature or agent in production

• Fluency across the stack — from React/Svelte down to Kubernetes and GPU queues

• Strong design sense that refuses awkward clicks or dead pixels

• Love for in-person collaboration; ready to build in SF

• Experience building agentic systems, tool-use pipelines, or autonomous workflows

• Deep familiarity with LLM serving infrastructure (embeddings, retrieval/vector stores, context windows)

• Experience with Python, TypeScript, Postgres, and GPU infrastructure

• Track record of prototyping and shipping consumer-facing AI features at speed

• Experience building systems that serve millions of users

Great agents need great products. Great products need engineers who refuse to compromise between speed and craft.

You will define how millions of people experience autonomous AI collaboration — from first interaction to daily habit. The features you build will directly shape whether everyday AGI earns trust or stays a demo.

🏢 All in, in person — work moves faster face-to-face

🚀 Ship by default — novel and polished can coexist, speed is the feature

🤝 One band, one sound — radical candor, zero politics, help each other win

Send us:

• A link — or 60-second video — of something you built and why it matters

• Your resume or LinkedIn

• Two sentences on the hardest problem you've cracked

Every exceptional candidate hears back within 48 hours.

If you see possibility where others see limits, we'd love to meet you.