Mobile Applications Developer

Were hiring a product-focused Mobile App Developer to craft build and launch AI-driven apps for iOS and Android. Youll own the full mobile stack weaving LLMs on-device ML and real-time inference into fast intuitive products used by thousands.

What Youll Do

• Design & build native or cross-platform mobile apps for iOS and Android from concept to ship
• Integrate AI/ML capabilities like LLM chat image/video generation voice interfaces RAG embeddings and on-device models using Core ML ML Kit or TensorFlow Lite
• Create high-performance UI/UX with SwiftUI UIKit and Kotlin Jetpack Compose
• Connect to AI backends including OpenAI Anthropic Gemini Llama or custom model APIs
• Implement real-time systems with streaming responses websockets and offline-first caching
• Optimize for mobile constraints model latency battery drain memory usage and app size
• Ship to production via App Store and Google Play managing TestFlight and Internal Testing
• Collaborate cross-functionally with PMs designers and ML engineers to prototype and iterate quickly

What You Bring

Mobile Development

• Proven experience shipping production iOS apps with Swift SwiftUI/UIKit Xcode and App Store deployment
• Proven experience shipping production Android apps with Kotlin Jetpack Compose Android Studio and Play Store deployment Or strong cross-platform expertise with React Native / Flutter plus native module bridging
• Strong grasp of mobile architecture patterns: MVVM Clean Architecture dependency injection

AI/ML Integration

• Shipped at least one app with AI features such as chatbots copilots image generation or speech-to-text
• Comfortable with LLM APIs prompt engineering function calling and response streaming
• Experience with on-device ML frameworks: Core ML ML Kit TensorFlow Lite or ExecuTorch
• Understanding of vector databases embeddings and RAG pipelines in a mobile context

General

• Strong CS fundamentals: data structures algorithms networking concurrency
• Experience with REST/GraphQL auth analytics and crash reporting tools
• Product and UX intuition you build AI that feels natural not mechanical
• Bonus: AVFoundation/CameraX WebRTC or ARKit/ARCore experience

Nice to Have

• Contributions to open-source AI mobile SDKs or tools
• Experience fine-tuning or quantizing models for mobile deployment
• Built multi-modal AI apps combining text image and audio
• Knowledge of privacy safety and content moderation for AI products

Only Shortlisted candidates will be notified.

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