Sr. iOS Engineer - LATAM/Nigeria

Project:

The product combines mobile-first experiences, AI/ML-driven insights, and thoughtfully designed user journeys to deliver meaningful, real-world impact at scale. The team focuses on shipping high-quality consumer products with strong engineering fundamentals, scalability, and privacy-first design.

What you’ll do: Build and own the native iOS application using Swift Implement on-device ML features including wake word detection and voice activity detection for privacy-first audio processing Develop real-time video calling with AI-generated memory overlays Create robust media ingestion pipelines for photos/videos with background processing Build offline-first architecture with reliable cloud sync (Cloudflare R2, TUS resumable uploads) Optimize performance for infinite scroll experiences with video preloading Integrate CallKit, PhotoKit, and native audio/video APIs Collaborate directly with the founder and mobile lead on architecture decisions

What we’re looking for: 5+ years of native iOS development with Swift Experience building custom native modules (Swift/Objective-C bridging) On-device ML implementation (Core ML, TensorFlow Lite, or ExecuTorch) Real-time communication experience (WebRTC, Agora, or similar) Background processing expertise (BGTaskScheduler, AVAudioSession) Offline-first and local database experience (SQLite, Core Data) Excellent English communication skills

Nice to have: Voice Activity Detection (VAD) or audio processing experience Media pipeline work (FFmpeg, video encoding/compression) Proficiency with AI coding assistants (Claude, Cursor, etc.) Experience building for accessibility (55+ user base) Nice to Have: Apple Neural Engine / NPU optimization HIPAA or healthcare app compliance CarPlay development Open source contributions

Note : This position requires direct interviews with US-based clients. Candidates must be located in North America or hold a valid work permit in North America. Candidates from other locations will not be considered.

Interview Process 1. Information Submission Thank you for your interest in the role. Please check your inbox (and spam folder). If your profile is shortlisted, we will contact you via email for the next step. 2. AI Screening Interview (≈20 mins) Shortlisted candidates will receive an AI interview link after submitting their information. Please complete it within the given timeframe. We will support you throughout the process via email and WhatsApp if needed. 3. Technical Interview with CTO Candidates who pass the AI screening will proceed to a technical interview with our CTO. 4. Final Interview with Team The final step is a discussion with the team to ensure mutual fit.