{"id":3345637,"url":"https://alion.io/job/newbridge-alliance-ai-mobile-application-developer-ios-android-cross-platform","title":"AI Mobile Application Developer (iOS / Android / Cross-Platform)","company":{"id":4423579,"name":"Newbridge Alliance","domain":"newbridgealliance.com","url":"https://alion.io/company/newbridgealliance","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Mobile","role_family":"Mobile","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":113000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bloc","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Computer Vision","optional":false},{"name":"Core ML","optional":false},{"name":"Dart","optional":false},{"name":"Deep Linking","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Firebase","optional":false},{"name":"Flutter","optional":false},{"name":"Gemini","optional":false},{"name":"GPT-4","optional":false},{"name":"GraphQL","optional":false},{"name":"Hugging Face","optional":false},{"name":"Jetpack Compose","optional":false},{"name":"Kotlin","optional":false},{"name":"LangChain","optional":false},{"name":"LiteRT","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"MediaPipe","optional":false},{"name":"ML Kit","optional":false},{"name":"MVVM","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"React Native","optional":false},{"name":"Realm","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Redux","optional":false},{"name":"Rest API","optional":false},{"name":"Riverpod","optional":false},{"name":"SQLite","optional":false},{"name":"State Management","optional":false},{"name":"Swift","optional":false},{"name":"SwiftUI","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Weaviate","optional":false},{"name":"Bitrise","optional":true},{"name":"ElevenLabs","optional":true},{"name":"Fastlane","optional":true},{"name":"Git","optional":true},{"name":"GitHub Actions","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"OCR","optional":true},{"name":"Python","optional":true},{"name":"React.js","optional":true},{"name":"WebSockets","optional":true},{"name":"Whisper","optional":true},{"name":"YOLO","optional":true}],"status":"live","first_seen_at":"2026-10-27T17:07:39Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T13:54:53Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nKey Responsibilities:\n1. Mobile App Development:\nDesign, develop, and maintain high-performance mobile applications for iOS and/or Android.\nBuild cross-platform apps using Flutter / React Native / Swift / Kotlin.\nEnsure app performance, security, offline capability, and responsiveness.\nIntegrate with REST APIs, GraphQL, Firebase, and third-party SDKs.\nPublish and manage apps on App Store and Play Store, including CI/CD.\n2. AI / GenAI Integration:\nIntegrate AI/ML models into mobile apps - On-device AI (CoreML, TensorFlow Lite, ML Kit) and Cloud AI (OpenAI, Gemini, Claude APIs).\nBuild features like Chatbots, AI Assistants, Voice-to-Text, Text-to-Speech, Image Recognition, Recommendation Systems.\nImplement RAG (Retrieval Augmented Generation), prompt engineering, and vector databases (Pinecone, Weaviate) for mobile use cases.\nWork with AI/ML team to optimize and deploy LLMs / SLMs for mobile (model quantization, edge inference).\nImplement real-time AI features - AI camera, document scanner, facial recognition, object detection.\n3. Product & Collaboration:\nCollaborate with UI/UX designers, Backend, AI Engineers, and Product teams.\nTranslate business requirements into AI-driven mobile experiences.\nStay updated with latest in GenAI, Mobile AI frameworks, and edge computing.\nRequired Skills:\nMobile:\nStrong experience in Flutter (Dart) OR React Native OR Native iOS (Swift/SwiftUI) / Android (Kotlin/Jetpack Compose).\nExperience with state management (Bloc, Provider, Redux, Riverpod).\nGood understanding of Mobile Architecture - MVVM, Clean Architecture.\nExperience with push notifications, deep linking, in-app purchases, analytics.\nExperience with Firebase, SQLite, Realm, Hive.\nAI / ML:\nHands-on experience integrating LLM APIs (OpenAI GPT-4, Gemini, Claude, Llama) into apps.\nUnderstanding of Prompt Engineering, RAG, Vector DBs, Embeddings.\nExperience with on-device ML: CoreML, TensorFlow Lite, MediaPipe, ML Kit.\nBasic understanding of Computer Vision / NLP / Speech.\nExperience with AI frameworks: Hugging Face, LangChain, LlamaIndex is a plus.\nBackend / Tools:\nREST APIs, WebSockets, GraphQL.\nGit, CI/CD (Fastlane, GitHub Actions, Bitrise), App Store deployment.\nExperience with Python for AI prototyping is a big plus.\nGood to Have:\nExperience building AI Chatbot / AI Assistant apps.\nExperience with Voice AI (Whisper, ElevenLabs), Vision AI (YOLO, OCR).\nExperience with Edge AI optimization and model quantization.\nPublished AI-powered apps on App Store / Play Store.\nKnowledge of AI safety, guardrails, and compliance.\nQualification:\nDegree in Computer Science, AI, Software Engineering or related field.\n8+ years in Mobile Development + at least 1+ year in AI-integrated mobile 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