Native iOS Developer Needed for Privacy-First Photo Organization App
We are looking for an experienced native iOS developer to integrate our existing image processing and clustering SDK into a production-ready app for the Apple App Store. The app organizes and optimizes users’ photo libraries with privacy-first, on-device processing, smart clustering, and storage cleanup. Our goal is to launch a lean MVP to validate market demand, with a clean architecture that supports iterative improvements and future AI features. Initial work focuses on integrating the SDK into a production-ready app with a few core screens. This milestone is budgeted at $300. If we proceed with further development, an additional $1,000 will be added to the budget.
Requirements & Deliverables:
Strong experience with Swift, Core ML, and the Vision framework is required, along with expertise in on-device AI performance, efficient local storage/indexing, and scalable architecture. The app should support swipe gestures for quick actions, long-press for multi-select, clear sync/processing status indicators, and be localization-ready (English first). Deliverables include a production-ready MVP iOS app, well-documented source code, extensible architecture, and basic unit tests. Ideal candidates have a proven record of publishing apps on the Apple App Store, experience with photo/media apps and computer vision, strong mobile UX judgment, and familiarity with integrating Claude or similar AI features.