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Senior Android Engineer, AI Integrated Enterprise Applications

GSSTech Group
Bengaluru, Karnataka, India Posted Sep 22, 2026
Full-time

About this role

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

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