Mobile Applications Developer
We're hiring a product-focused Mobile App Developer to craft, build, and launch AI-driven apps for iOS and Android. You'll own the full mobile stack, weaving LLMs, on-device ML, and real-time inference into fast, intuitive products used by thousands.
What You'll 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.
Attach your portfolio to your cv.