Associate Lead – Mobile Front-End Engineering

Education Qualification :
Engineer - B.E / B.Tech / MCA

Job Responsibilities

• Lead front-end architecture for AI-enabled mobile and web applications using React Native and ReactJS.
• Design scalable component architecture and state management using Redux, Toolkit, and Saga/Thunk.
• Convert business requirements into low-level technical designs and reusable UI components.
• Develop core modules and complex AI-driven user flows.
• Integrate Generative AI platforms such as OpenAI, Azure OpenAI Service, Google Vertex AI, and Amazon Bedrock.
• Build AI features like chatbots, smart search, recommendations, and summarization.
• Implement real-time communication using WebSockets, SSE, and streaming APIs.
• Integrate Firebase services for auth, push notifications, analytics, crash reporting, and feature flags.
• Leverage native device capabilities such as biometrics, camera, sensors, and offline storage.
• Ensure secure handling of user and AI-generated data.
• Optimize performance, rendering, memory, and battery usage.
• Define and enforce testing standards using Jest and React Native Testing Library.
• Conduct code reviews and quality checks.
• Support CI/CD pipelines and app store releases.
• Resolve platform, dependency, and AI-integration issues.
• Mentor developers and promote modern front-end and AI best practices.
• Participate in Agile planning and delivery.

Job Requirements and Qualifications

• Strong hands-on experience with React Native and its internal architecture.
• Proven experience building web frontends using ReactJS, NextJS, NodeJs.
• Expertise in Redux, Redux Toolkit, Redux Saga/Thunk, and React hooks.
• Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3.
• Experience with unit and integration testing using JEST.
• Hands-on knowledge of WebSockets and real-time data handling.
• Experience integrating Generative AI / LLM APIs (OpenAI, Azure OpenAI, Vertex AI, or Bedrock).
• Exposure to AI use cases like chat, personalization, semantic search, and summarization.
• Understanding of AI front-end patterns such as streaming responses and fallbacks.
• Familiarity with responsible AI and data privacy practices.
• Experience with Firebase Authentication, FCM, Analytics, Crashlytics, and Remote Config.
• Strong understanding of iOS and Android internals (lifecycle, memory, permissions).
• Working knowledge of Xcode and Android Studio.
• Experience consuming RESTful and GraphQL APIs with offline support.
• Knowledge of mobile security best practices.
• Proficiency in Git, pull requests, and CI/CD pipelines.
• Ability to troubleshoot performance, compatibility, and dependency issues.
• Experience working in Agile/Scrum teams.
• Proven delivery of multiple end-to-end mobile application lifecycles.