Frontend Developer Mid

We are seeking a React Native Developer to build and own the mobile application for a TMS platform with integrated AI actions. The app serves drivers, dispatchers, and owner/operators — each with different navigation structures and permission-based screen access. This is a production-grade mobile app requiring deep React Native expertise, offline-first architecture, device camera integration, real-time data, and AI-integrated mobile features. Key Responsibilities • Build and maintain a multi-role React Native app for drivers, dispatchers, and owner/operators with permission-based screen access • Implement offline-first architecture — queue actions taken without connectivity and sync reliably when connection returns • Integrate device camera for in-app document capture with crop and upload logic (not just photo selection) • Implement push notifications end to end — FCM for Android, APNS for iOS, including background notifications and deep linking into specific screens • Build complex multi-screen navigation using React Navigation with role-based routing and permission-gated screens • Optimize mobile performance: memory management, list virtualization for large data sets, background process handling, and battery impact awareness • Integrate real-time data via WebSockets or SSE (not REST polling) • Build mobile chat interface with streaming — display token-by-token LLM responses with rendering performance • Implement mobile OCR capture flow: camera capture, image quality validation, upload progress, and AI-prefilled editable form results • Handle mobile-specific AI latency UX — graceful handling of 3–8 second AI response times on small screens • Build offline AI interaction queuing — when driver uses chatbot or submits a document scan with no connectivity, manage queue and retry logic • Manage full App Store and Google Play submission, review, and approval processes • Implement mobile deep linking from push notifications and chatbot actions directly into relevant app screens • Apply mobile security best practices: secure token storage, certificate pinning, and biometric authentication

: Must-Have (Non-Negotiable) • 4+ years of React Native development specifically — not React web with occasional mobile work • Has shipped at least 1 app to both the Apple App Store and Google Play Store — including full submission, review, and approval process on both platforms • Strong TypeScript proficiency • Deep experience with offline-first architecture: queuing actions without connectivity and syncing reliably when connection returns • Has integrated device camera for document capture in a production app — actual in-app camera with capture, crop, and upload logic (not just photo selection) • Experience implementing push notifications end to end — FCM for Android, APNS for iOS, including background notifications and deep linking from a notification into a specific screen • Proficient with React Navigation for complex multi-screen app architecture with permission-based screen access • Strong understanding of mobile performance optimization: memory management, list virtualization, background process handling, and battery impact awareness • Experience with real-time data in mobile: WebSockets or SSE integrated into a React Native app (not just REST polling) Strong Preference • Experience with Expo (specifically managed or bare workflow) • Experience with mobile form design for field workers — simplified, large-target UI built for people using a phone in a vehicle, not an office • Has worked on a multi-role mobile app where users see different screens and functionality based on permissions group • Experience with mobile deep linking from push notifications and chatbot actions to specific screens • Familiarity with mobile security best practices: secure token storage, certificate pinning, biometric authentication • Has implemented in-app document scanning using libraries like react-native-vision-camera or similar (OCR workflow) AI-Specific Requirements • Has built a mobile chat interface with streaming — displaying token-by-token LLM responses in a React Native environment, handling rendering performance • Experience designing mobile OCR capture flows: camera capture, image quality validation, upload progress, and display of AI-prefilled form results with editable fields for driver review • Understands mobile-specific AI latency UX — how to handle 3 to 8 second AI response times gracefully on a small screen without the user thinking the app has frozen • Offline AI interactions — when a driver tries to use the chatbot or submit a document scan with no connectivity, understands how the queue and retry logic should work