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

NEWBRIDGE ALLIANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

NEWBRIDGE ALLIANCE PTE. LTD. is seeking an AI Mobile Application Developer to build intelligent mobile apps with AI/ML integration for iOS and Android. You will work across mobile development, GenAI integration, and product collaboration to deliver cutting-edge experiences.

The role focuses on on-device AI (CoreML, TF Lite) and cloud AI (OpenAI, Gemini, Claude), with RAG, embeddings, and vector DBs. You will collaborate with design, backend, and AI engineers to ship production apps.

Qualifications

• Mobile app developers with cross-platform experience.
• Strong Flutter/React Native or native iOS/Android.
• Experience integrating AI/ML in mobile apps.
• Knowledge of LLMs, RAG, vector DBs, embeddings.
• Experience with REST/GraphQL and CI/CD.

Responsibilities

• Design, develop and maintain mobile apps for iOS/Android.
• Integrate AI/GenAI features including on-device and cloud AI.
• Collaborate with UI/UX, Backend, AI teams to translate requirements.

Skills

Flutter (Dart) or React Native or iOS/

State management

MVVM / Clean Architecture

Push notifications

Firebase / SQLite / Realm / Hive

LLM APIs integration

Prompt engineering & RAG

On-device ML frameworks

Python for prototyping

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Fastlane

GitHub Actions

Bitrise

CI/CD pipelines

Job description

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.