AI Full Stack Engineer, Mobile

## About the role You will work on the backend systems and mobile surfaces that power ShelfWatch's capture experience used by field reps across 50+ countries. The app handles AR-guided shelf scanning, panoramic stitching and offline-first capture. You will work across Python services and the mobile integration layer. ## What you will do - Work on Python backend services that power mobile capture, sync and image upload pipelines. - Contribute to our React Native app across capture flows, offline queues, auth and result rendering. - Help design APIs that handle large image payloads, intermittent connectivity and partial sync recovery. - Collaborate with AR and ML teams to integrate capabilities into mobile workflows. - Refactor legacy mobile code using Claude Code and Cursor as a daily driver. - Debug across the full stack, from mobile clients to backend services in production. ## What we are looking for - 2+ years building production backends in Python (FastAPI, Django or Flask). - Strong instincts for API design when bandwidth is unreliable and payloads are heavy. - Comfortable navigating legacy codebases and using AI tools to refactor and ship in unfamiliar territory. - Daily user of Claude, Cursor or similar AI coding tools with a clear point of view on what works. - Bias for shipping and a habit of measuring what you ship. ## Preferred - React Native experience with real users, ideally with offline-first patterns. - Image upload pipelines, chunked uploads or resumable transfers. - Mobile observability and crash analytics.