AI-Powered Mobile Developers

Zignuts Technolab; India; On-site; INR 900,000 - 1,800,000; Full time

Benefits offered by this job

Paid AI tools access

5‑day work week

Flexible hours

Growth & R&D environment

Job summary

Zignuts Technolab is seeking a skilled mobile developer to design, build, and maintain cross‑platform apps using React Native and Flutter. You will create native modules for iOS and Android, implement AI features, and manage deployments through CI/CD with Bitrise, Codemagic, and GitHub Actions.

The role emphasizes strong English communication for direct client collaboration, knowledge of REST/GraphQL APIs, and hands‑on experience with AI tooling in daily development.

Qualifications

• 2–5 years hands-on mobile development experience.
• Proven React Native and Flutter expertise.
• Experience publishing apps on Apple App Store and Google Play Store.
• Strong English communication skills for international clients.
• Experience integrating AI/LLM APIs into mobile UIs.

Responsibilities

• Develop, maintain, and optimize cross‑platform mobile apps.
• Build native modules for iOS/Android as needed.
• Lead CI/CD pipelines and release management.
• Collaborate with international clients and teams.
• Integrate AI capabilities and on‑device ML features.

Skills

React Native

Flutter

Dart

Swift/Objective-C

Kotlin/Java

RESTful APIs

GraphQL

Firebase

Git/GitHub

CI/CD

AI tooling (Cursor, Copilot, ChatGPT,/

Tools

Bitrise

Codemagic

GitHub Actions

Firebase integration

Job description

Design, build, and maintain high-performance mobile applications for iOS and Android using React Native (Expo & CLI) and Flutter.

Develop custom native modules and bridge code using Swift/Objective-C for iOS and Kotlin/Java for Android to handle native system APIs and deep hardware integrations.

Build responsive, fluid user interfaces utilizing NativeBase, React Native Paper, Tamagui, SwiftUI, Jetpack Compose, and Tailwind CSS (NativeWind).

Implement state management architecture using Redux Toolkit, Context API, Bloc, Provider, Riverpod, or GetX depending on project scale.

Embed generative AI capabilities, interactive AI chat/voice interfaces, and agentic capabilities into mobile clients via APIs.

Implement on-device AI/ML models (e.g., CoreML, Google ML Kit) for real-time vision processing, speech recognition, and intelligent local features.

Connect mobile applications with cloud AI microservices, Firebase, RESTful APIs, and WebSockets.

Integrate AI development tools (Cursor, GitHub Copilot, Claude, ChatGPT) daily to accelerate UI prototyping, bug fixing, test writing, and code refactoring.

Diagnose, troubleshoot, and optimize mobile app performance, battery usage, memory footprint, and frame rates across both platforms.

4. Lifecycle Management & Client Communication

Manage the complete mobile release lifecycle, including beta distribution, App Store Connect, and Google Play Console publishing.

Build and maintain mobile CI/CD pipelines (Bitrise, Codemagic, GitHub Actions) for automated building and testing.

Communicate directly with international clients in English to discuss mobile architectural decisions, sprint updates, and technical requirements.

Minimum Requirements

Experience: 2 to 5 years of hands‑on experience in mobile application development.

Cross-Platform Mastery

Proven experience with React Native (both Expo and React Native CLI workflows)/Flutter and Dart.

Native Development Knowledge: Working experience or familiarity with Native iOS (Swift/Objective-C) and Native Android (Kotlin/Java).

App Publishing: Successful track record of publishing and maintaining live applications on the Apple App Store and Google Play Store.

AI Tooling & APIs

Active usage of AI-powered development tools (Cursor, Copilot, ChatGPT, Claude) in daily coding.

Experience integrating AI/LLM APIs into mobile user interfaces.

Mobile DevOps & API Integration: Strong understanding of Git/GitHub, CI/CD pipelines, RESTful APIs, GraphQL, and Firebase integration.

Soft Skills: Excellent verbal and written English skills for direct client stand‑ups and technical discussions

Experience with on-device AI tools (CoreML, Google ML Kit, TensorFlow Lite).

Experience with automated mobile testing tools (Jest, React Native Testing Library, Flutter Test, XCTest, Espresso).

Prior background in Web Frontend technologies (React.js).

What We Offer

Paid AI Tools: Direct access to paid AI tools, models, and development environments.

Cutting-Edge Stack: Exposure to an AI-first workflow and modern architecture on international enterprise projects.

Work-Life Balance:5-day working week with flexible working hours.

Growth & R&D: Dedicated environment for research & development in emerging AI capabilities and agentic workflows.

Competitive Package: Competitive compensation matching your skill set and experience.