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.
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