About the Role We are looking for talented Fullstack Mobile Developers who can build, test, and ship high-quality mobile applications across Android, iOS, and Flutter within a global loyalty platform. You will work within cross-functional agile squads alongside product owners, designers, backend engineers, and QA specialists. This is an AI-augmented role – you will be expected to actively use AI-assisted development tools (code generation, debugging, automated testing, documentation) as part of your day-to-day workflow to deliver faster and smarter. You should be comfortable with modern AI coding assistants and be able to demonstrate measurable productivity improvements through their adoption. You will take ownership of features end-to-end: from technical design through implementation, unit testing, code review, and release. You will contribute to a codebase that spans native Android (Kotlin/Java), native iOS (Swift), and Flutter, with a strong emphasis on code quality, platform best practices, and configuration-driven multi-market delivery. Core Responsibilities • Develop, test, and maintain mobile applications across Android (Kotlin/Java), iOS (Swift/Objective-C), and Flutter for a multi-market loyalty platform • Take end-to-end ownership of features – from technical design and implementation through unit testing, code review, and release coordination • Participate actively in sprint ceremonies: planning, daily standups, retrospectives, and PI planning preparation • Write clean, maintainable, well-tested code following established coding standards and architectural patterns • Collaborate with backend engineers on API integration, data contracts, and end-to-end feature delivery • Contribute to CI/CD pipeline maintenance (GitHub Actions) and automated testing suites (Jest, Detox, Appium) • Participate in code reviews, providing and receiving constructive feedback to maintain high code quality • Support release activities including regression testing, build verification, and market-specific configuration validation AI Proficiency Requirements • Proven experience using AI-assisted tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor) as part of day-to-day development workflows, including code generation, review, debugging, or test case creation • Ability to demonstrate measurable productivity improvements through AI tool adoption • Experience evaluating and recommending AI tools for team use • Willingness to continuously explore and adopt new AI-powered development tools and practices Technical Requirements • Strong proficiency in at least two of: Android (Kotlin/Java), iOS (Swift), Flutter (Dart) • Working knowledge of the third platform (willing to develop depth across all three) • Experience with RESTful API integration, JSON data handling, and mobile-backend communication patterns • Familiarity with Git-based workflows, pull request processes, and branch management in GitHub • Understanding of mobile UI/UX best practices, responsive layouts, and platform-specific design guidelines (Material Design, Human Interface Guidelines) • Experience with unit testing frameworks (Jest, XCTest, JUnit) and UI testing tools (Detox, Appium, Espresso, XCUITest) • Working knowledge of CI/CD concepts and mobile build/distribution pipelines (GitHub Actions, Firebase App Distribution, TestFlight) • Understanding of mobile performance optimisation, memory management, and crash diagnostics Desirable Skills • Experience with multi-market or configuration-driven mobile applications • Familiarity with loyalty, rewards, or e-commerce mobile platforms • Understanding of accessibility standards (WCAG) and platform-specific accessibility APIs • Experience with Firebase (Analytics, Crashlytics, Remote Config) • Exposure to Server-Driven UI (SDUI) patterns or dynamic content rendering • Interest in AI agent integration within mobile applications (LLM APIs, on-device ML, intelligent assistants) What We Offer • Opportunity to work on a globally recognised consumer brand across 12+ markets • An AI-first engineering culture that invests in cutting-edge tools and continuous learning • Collaborative, distributed team environment spanning multiple geographies • Competitive compensation package with performance-based progression • Access to AI training, certifications, conference attendance, and dedicated innovation time • Flexible working arrangements with a focus on outcomes over hours