AI Mobile Application Developer

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.

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.

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.

• 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.

• Degree in Computer Science AI Software Engineering or related field.
• 8 years in Mobile Development at least 1 year in AI-integrated mobile apps.