# Senior Android Engineer, AI Integrated Enterprise Applications

**Company:** [GSSTech Group](https://jobs.workable.com/companies/cu9XaZB8i9r9X8CdwN62f7.md)
**Location:** Bengaluru, India
**Workplace:** on site

[Apply for this job](https://jobs.workable.com/view/c392b34d-c9b4-4a57-a9df-ed0fdadbd208)

## Description

**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