Full-Stack Engineer (AI · systems · data · UX-first)

About the role

You build the product people actually touch, across the whole stack, on a team small enough that the thing you ship on Tuesday is in front of users by Friday. This is AI-first work in the literal sense: the agent runtime, the data underneath it, and the interface on top are one problem, and you will work on all three rather than being handed a slice.

What you’ll do

• Build Agent One features end to end - from data and agent runtime to a UX that feels inevitable
• Make AI a first-class material: tools, memory, evals, and the consent layer underneath
• Design data systems that are fast, private, and correct - receipts, least privilege, minimal disclosure
• Obsess over latency, accuracy, and control; instrument outcomes so we don't fool ourselves
• Write small, modular, legible code others could lift on its own

What we need to see

• You have shipped and owned production full-stack work, front to back, for real users
• Hands-on LLM and agent work: tool use, context handling, and the evals that keep it honest
• Taste in interface, not just capability: you can tell when something is technically correct and still bad
• You debug across boundaries rather than escalating at the edge of your usual layer

Nice to have

• On-device or edge inference experience, since much of our compute is on hardware the user owns
• You have worked somewhere with a real privacy or consent constraint, not just a policy page
• Open-source work anyone can read

What winning looks like

• Features shipped that move activation and weekly-active retention
• Latency, accuracy, and quality budgets met
• Code others reuse; low defect and regression rate

Where and how we work

We work in the office together five days a week, in one of our garages. Remote work is available only by exception, arranged individually around specific circumstances.

Pay

Indicative annual base for this role's level, in the currency of the garage you join, from our published pay ranges. Full-time roles also get equity and an annual bonus. Your offer depends on level, location and experience, and is confirmed in writing.