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.
Paralleldots