AI Mobile Application Developer (iOS / Android / Cross-Platform)

We are looking for an AI Mobile Application Developer who can build intelligent, AI-powered mobile applications. This role is a mix of Mobile Development + AI/ML Integration + GenAI . You will build apps that use LLMs, Computer Vision, and on-device AI. Key Responsibilities: 1. Mobile App Development: Design, develop, and maintain high-performance mobile applications for iOS and/or Android. Build cross-platform apps using Flutter / React Native / Swift / Kotlin .

Ensure app performance, security, offline capability, and responsiveness. Integrate with REST APIs, GraphQL, Firebase, and third-party SDKs. Publish and manage apps on App Store and Play Store, including CI/CD. 2. AI / GenAI Integration: Integrate AI/ML models into mobile apps - On-device AI (CoreML, TensorFlow Lite, ML Kit) and Cloud AI (OpenAI, Gemini, Claude APIs). Build features like Chatbots, AI Assistants, Voice-to-Text, Text-to-Speech, Image Recognition, Recommendation Systems.

Implement RAG (Retrieval Augmented Generation) , prompt engineering, and vector databases (Pinecone, Weaviate) for mobile use cases. Work with AI/ML team to optimize and deploy LLMs / SLMs for mobile (model quantization, edge inference). Implement real-time AI features - AI camera, document scanner, facial recognition, object detection. 3. Product & Collaboration: Collaborate with UI/UX designers, Backend, AI Engineers, and Product teams.

Translate business requirements into AI-driven mobile experiences. Stay updated with latest in GenAI, Mobile AI frameworks, and edge computing. Required Skills: Mobile: Strong experience in Flutter (Dart) OR React Native OR Native iOS (Swift/SwiftUI) / Android (Kotlin/Jetpack Compose) . Experience with state management (Bloc, Provider, Redux, Riverpod). Good understanding of Mobile Architecture - MVVM, Clean Architecture.

Experience with push notifications, deep linking, in-app purchases, analytics. Experience with Firebase, SQLite, Realm, Hive. AI / ML: Hands-on experience integrating LLM APIs (OpenAI GPT-4, Gemini, Claude, Llama) into apps. Understanding of Prompt Engineering, RAG, Vector DBs, Embeddings . Experience with on-device ML: CoreML, TensorFlow Lite, MediaPipe, ML Kit . Basic understanding of Computer Vision / NLP / Speech.

Experience with AI frameworks: Hugging Face, LangChain, LlamaIndex is a plus. Backend / Tools: REST APIs, WebSockets, GraphQL. Git, CI/CD (Fastlane, GitHub Actions, Bitrise), App Store deployment. Experience with Python for AI prototyping is a big plus. Good to Have: Experience building AI Chatbot / AI Assistant apps. Experience with Voice AI (Whisper, ElevenLabs), Vision AI (YOLO, OCR). Experience with Edge AI optimization and model quantization.

Published AI-powered apps on App Store / Play Store. Knowledge of AI safety, guardrails, and compliance. Qualification: Degree in Computer Science, AI, Software Engineering or related field. 8+ years in Mobile Development + at least 1+ year in AI-integrated mobile apps.