Overview

Location: Remote

Experience: 7 to 10 Years

Note: We are looking for a candidate with strong expertise in Flutter and Dart, a solid understanding of State management and Architectural understanding.

Key Responsibilities

• Design, develop, and maintain robust Flutter mobile applications
• Translate functional and technical requirements into clean, maintainable code
• Collaborate closely with mobile architects to align with platform standards and best practices
• Participate in code reviews, ensuring quality and consistency — including reviewing AI-generated contributions with the same rigor as human-written code
• Contribute to technical design and solution discussions, including how AI can be applied to product features and to the development workflow itself
• Identify and resolve performance, stability, and usability issues
• Write unit, widget, and integration tests to ensure application quality
• Support release activities, bug fixes, and production issues
• Mentor junior developers and promote engineering best practices, including responsible and effective use of AI tooling
• Stay current with the evolving AI tooling landscape and share learnings with the team.

Required Skills

• Architecture patterns (MVC / MVP / MVVM, Clean Architecture basics)
• Experience with state management solutions (BLoC, Riverpod, Provider, etc.)
• Proficiency in building modular Flutter applications and reusable UI components
• Good understanding of Android and iOS fundamentals, lifecycles, and platform limitations
• Knowledge of and ability to leverage iOS and Android platform capabilities, including native features (rich push notifications, app shortcuts, deep OS integration), background tasks, automation, and device-level integrations (sensors, geofencing, NFC, Bluetooth)
• Experience with REST / GraphQL API integration and network handling
• Knowledge of secure coding practices and basic mobile security concepts
• Experience in performance optimization, memory management, and efficient rendering
• Familiarity with CI/CD pipelines, automated testing (unit, widget, integration), and build processes
• Experience with app store releases, versioning, rollout, and production support
• Strong collaboration skills with backend, QA, DevOps, and product teams
• Active, daily use of AI coding assistants as part of a personal engineering workflow
• Ability to articulate where AI accelerates work and where it falls short
• Habit of reviewing, testing, and questioning AI-generated code rather than accepting it blindly
• Comfort with prompt iteration, context-setting, and prompting patterns for code, refactors, and debugging
• Curiosity about emerging AI tooling in the mobile space (AI-assisted UI generation, on-device LLMs, AI-powered testing, etc.)