Android Engineer – AI Integration

Job Summary Synechron is seeking an Android Engineer to develop scalable, high-performing Android applications and AI-powered mobile features using Kotlin, Jetpack Compose, and modular architecture. Software Requirements Required Kotlin, Coroutines, and Flow Jetpack Compose and Android SDK Multi-module Android architecture Hilt/Dagger Gradle and build optimization Room/DataStore, WorkManager, and OkHttp Firebase Crashlytics and performance monitoring Git, unit testing, and CI/CD LLM API integration and AI error handling Preferred Model Context Protocol (MCP) Agentic workflows and context management Kubernetes or cloud experience GitHub Android portfolio Open-source contributions Experience shipping AI-enabled applications Overall Responsibilities Design, develop, test, and maintain Android applications. Build modular and maintainable features using Kotlin and Jetpack Compose. Integrate LLM APIs and develop AI-powered mobile functionality. Optimize performance, memory, startup time, and Gradle builds. Troubleshoot crashes, ANRs, memory leaks, and production issues. Collaborate with product, design, backend, QA, and security teams. Contribute to architecture, code reviews, documentation, and technical standards. Technical Skills Programming: Kotlin, Coroutines, Flow; Java is preferred. Data: Room, DataStore, SQLite, and offline data management. Frameworks: Jetpack Compose, Android Jetpack, Hilt/Dagger, WorkManager, OkHttp. AI: LLM APIs, context management, AI response validation, error handling, and MCP. Tools: Android Studio, Android SDK, Gradle, Git, Crashlytics, testing, and profiling tools. Security: HTTPS/TLS, secure token handling, authentication, authorization, and data privacy. Experience Requirements At least 5 years of professional Android development experience. Strong experience with Kotlin, Jetpack Compose, and multi-module applications. Experience with performance optimization, memory profiling, Crashlytics, and ANR troubleshooting. Experience integrating LLM APIs and building AI-powered features. Enterprise or large-scale mobile application experience is preferred. Equivalent practical experience, technical training, or a strong project portfolio may be considered. Day-to-Day Activities Develop and test Android features and AI integrations. Maintain modular architecture and improve application performance. Review code and participate in design discussions. Monitor crashes, ANRs, memory usage, and production issues. Optimize Gradle builds and application startup time. Participate in Agile meetings and collaborate with cross-functional teams. Maintain documentation and support application releases. Qualifications Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field. Equivalent relevant experience may be considered. Android, cloud, AI, or mobile security certifications are preferred. Commitment to continuous technical learning is expected. Professional Competencies