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.