full-stack AI mobile engineer

• You’ve shipped a 0*1 consumer mobile app before - ideally one that lived in the App Store and had real users.
• You’re fluent in React Native and comfortable owning the full mobile lifecycle: build, release, debug, monitor, iterate.
• You’ve built with Claude (or other frontier models) in production - prompts, tool use, evals, the works.
• You can move across the stack - frontend, backend, infra, AI - and you don’t flinch.
• You’ve worked or can learn HealthKit, sensor data, or wearable APIs and you understand how messy biosignals actually are.
• You’re a founder, in your bones. You don’t need a ticket to start working. You see a gap and close it.
• You can be in-person, in Montreal, SF, or NYC.

Bonus points

• Background or deep interest in nervous system science, somatics, neuroscience, or trauma research.
• You’ve been the first engineer somewhere before - and you know what that actually costs.
• You’ve built AI-powered testing or eval pipelines and have strong opinions about them.

Client Technical Stack:

AI-native at every layer.

• React Native (iOS-first, Android close behind)

• Claude-based architecture - agentic workflows, tool use, structured outputs

• AI-powered QA testing (think: agents that test agents)

• iOS / HealthKit + wearable integrations - HRV, Apple Watch, Oura, Whoop, EEG headbands

• Backend: Node or Python, Postgres, modern infra (Vercel / Fly / Render - your call)

• AI-native infrastructure - every layer of the stack is a place where AI lives, not a place where AI is bolted on