AI-Native Mobile Engineer (Flutter | iOS | Android) (Gurugram)

AI-Native Mobile Engineer (Flutter | iOS | Android) Company: HireQed.ai Location: Gurugram, Haryana (Work from Office) Employment Type: Full-Time Experience: 36+ Years About HireQed.ai HireQed.ai is building the intelligence layer behind modern healthcare. We develop AI-powered platforms that transform patient care, hospital operations, telehealth, clinical intelligence, patient engagement, and healthcare automation. We are looking for an AI-Native Mobile Engineer who believes AI is not just a featurebut the foundation of contemporary software development. This role is ideal for engineers who use AI to design, build, test, optimize, and ship high-quality mobile applications significantly faster than traditional development workflows. This is not a conventional Flutter Developer role. We are looking for someone who combines strong mobile engineering fundamentals with an AI-first mindset and is passionate about building intelligent healthcare applications. About the Role As an AI-Native Mobile Engineer, you will build modern, scalable, and secure cross-platform mobile applications while leveraging the latest AI-powered engineering tools and techniques. You will collaborate closely with Product, Design, Backend, AI, QA, and Clinical teams to develop next-generation healthcare products that serve hospitals, clinicians, laboratories, and patients globally. Key Responsibilities Mobile Application Development - Design, develop, test, and maintain high-performance Flutter applications for Android and iOS. - Develop scalable, reusable, and maintainable application architecture. - Build responsive, pixel-perfect user interfaces. - Integrate REST APIs, GraphQL APIs, WebSockets, and third-party SDKs. - Ensure high application performance, security, reliability, and scalability. - Publish and maintain applications on both Google Play Store and Apple App Store. AI-First Software Development Use AI as an integral part of your engineering workflow to: - Accelerate software development. - Generate high-quality production-ready code. - Improve architecture and design decisions. - Debug applications efficiently. - Write and optimize unit and integration tests. - Generate technical documentation. - Refactor and optimize existing codebases. - Improve development velocity while maintaining engineering quality. Hands-on experience with tools such as: - Cursor AI - GitHub Copilot - ChatGPT - Claude - Gemini - Windsurf - Firebase Studio - Lovable - Bolt.new - Replit AI - v0 by Vercel AI Integration Build intelligent mobile experiences by integrating: - OpenAI APIs - Anthropic Claude APIs - Google Gemini APIs - Azure OpenAI - Vertex AI - Firebase AI - AI Chat Interfaces - AI Assistants - Voice AI - OCR - Speech-to-Text - Text-to-Speech - Image Understanding - AI-powered Search - Function Calling - Structured Outputs Experience building AI-enabled applications is highly desirable. Product Engineering - Participate in technical architecture discussions. - Build reusable UI components. - Collaborate closely with UI/UX designers. - Optimize app performance and responsiveness. - Write clean, maintainable, and well-documented code. - Conduct code reviews and continuously improve engineering practices. DevOps & Release Management - Work with Git and GitHub workflows. - Build CI/CD pipelines. - Configure Firebase App Distribution. - Manage Play Store and App Store releases. - Monitor application performance and crash analytics. Required Skills Mobile Engineering - 3+ years of Flutter development experience. - Strong proficiency in Dart. - Android and iOS application development. - REST APIs & JSON. - Firebase (Authentication, Firestore, Messaging, Analytics, Crashlytics). - Push Notifications. - Local Storage (Hive, SQLite, Shared Preferences). - State Management (Riverpod, Bloc, Provider, GetX). - Deep Linking. - Responsive UI Development. - Git & Version Control. AI Engineering Skills Hands-on experience using AI tools such as: - Cursor - GitHub Copilot - Claude - ChatGPT - Gemini - Windsurf Strong understanding of: - Prompt Engineering - AI-assisted coding - AI debugging* AI-generated testing* AI documentation* AI code review* AI productivity workflowsAI Product DevelopmentWorking knowledge of:* Large Language Models (LLMs) - Retrieval-Augmented Generation (RAG) - AI Agents - Model Context Protocol (MCP) - Embeddings - Vector Databases - Prompt Chaining - Function Calling - AI APIs - Streaming ResponsesSoftware Engineering* Clean Architecture - SOLID Principles - MVVM - Repository Pattern - Secure Coding Practices - Performance Optimization - Agile/Scrum Methodologies Preferred Skills Experience with any of the following is highly desirable: - AI-powered mobile applications - Healthcare or HealthTech products - Telemedicine platforms - Video Consultation - Health Records or FHIR integrations - Payment Gateway Integration - AI Voice Agents - LangChain - LangGraph - CrewAI - AutoGen - n8n AI .