Senior Android Engineer, AI Integrated Enterprise Applications

What You'll Do Own architecture and design across feature teams for enterprise grade, high scale Android applications Build and maintain scalable Gradle architectures and high performance Jetpack Compose UIs Integrate LLM APIs and MCP (Model Context Protocol) frameworks directly into production apps, handling token management, context handling, agentic workflows, multi agent orchestration, and AI error recovery Diagnose memory leaks and ANR issues, implement Firebase Crash Reporting, and drive performance across distributed services Apply Hilt/Dagger dependency injection and MVVM/Clean Architecture to keep the codebase testable as the team scales Ship through the full app lifecycle, from early build to Google Play Store release, inside a CI/CD driven workflow What You Bring 5+ years coding Android, building enterprise mobile applications at global scale 3+ years hands on with Kotlin, current on the latest language updates Strong grasp of Android SDK, Jetpack libraries, security modules, and object oriented design patterns Solid understanding of multi threading, memory management, and caching on mobile Strong problem solving fundamentals, algorithms and data structures Working knowledge of MVVM, Clean Architecture, dependency injection, and functional programming At least 2 to 3 of the following: Kotlin Coroutines and Flow, DataStore and Room, OkHttp and Protocol Buffers, WorkManager Postgraduate degree in Computer Science or related field, or equivalent industry experience Bonus Points Hands on experience integrating LLM platforms such as Claude, OpenAI, or MCP tool servers Active GitHub portfolio with multiple Android projects showing real architectural depth Open source contributions or technical writing on Android or AI adjacent topics Who Thrives Here Influences multiple teams through technical depth, not authority Owns problems without needing to be micromanaged Can present architectural tradeoffs to senior and executive stakeholders as easily as debugging an ANR at 2am