# Sr. Android Engineer - AI/LLM > GSSTech Group · Bengaluru, India · — · Posted 2026-09-24 **Workplace:** on_site ## Description We are looking for an experienced **Android Engineer** to design, develop, and maintain large-scale, multi-module Android applications for digital banking products. The ideal candidate should have strong hands-on expertise in **Android, Kotlin, Jetpack Compose, Gradle, modular application architecture, performance optimization, and automated testing**, along with practical experience integrating **LLM/AI capabilities** into production applications. The role requires someone who can work across complex Android architectures, optimize build and application performance, and contribute to AI-powered mobile experiences while maintaining strong engineering, scalability, reliability, and testing standards. ## Requirements ### Key Responsibilities - Design, develop, and maintain **large-scale, multi-module Android applications**. - Build scalable and maintainable Android architectures across multiple feature teams. - Design and optimize complex **Gradle build architectures** and improve build performance. - Develop high-performance, responsive user interfaces using **Jetpack Compose**. - Implement robust **Firebase Crash Reporting** and analyze crash and stability issues. - Diagnose and resolve **memory issues, ANRs, performance bottlenecks, and application stability problems**. - Implement scalable dependency injection patterns using **Hilt/Dagger**. - Develop highly testable and maintainable Android solutions across multiple modules and feature teams. - Integrate **LLM APIs** and AI capabilities into production Android applications. - Work with **Model Context Protocol (MCP)** frameworks and MCP-based integrations in production environments. - Implement and work with **token management and context handling** for LLM-powered applications. - Design and integrate **agentic AI workflows and multi-agent orchestration** where required. - Implement appropriate **AI error recovery and failure-handling strategies**. - Collaborate with engineering, product, QA, architecture, and other cross-functional teams. - Contribute to code reviews, technical design discussions, engineering standards, and architectural decisions. - Balance architectural scalability with practical mobile constraints including performance, memory, reliability, and user experience. ### Core Technical Requirements **Android Development** - Strong hands-on experience in **Android development**. - Strong proficiency in **Kotlin**. - Experience developing large-scale and **multi-module Android applications**. - Strong understanding of scalable Android architecture and modular design. - Advanced experience with **Gradle** and complex Android build systems. - Experience optimizing Android build performance. - Strong hands-on experience with **Jetpack Compose** and modern Android UI development. - Experience with **Firebase Crash Reporting/Crashlytics** and production crash analysis. - Strong experience diagnosing **memory issues, ANRs, and application performance problems**. - Strong understanding and practical experience with **Hilt and/or Dagger** for dependency injection. ### AI / LLM / MCP Requirements Hands-on production experience with AI integration is required. Candidates should have experience with: - **LLM API integration** within applications. - Working with LLM platforms such as **Claude, OpenAI, or similar platforms**. - **Model Context Protocol (MCP)** and MCP frameworks/tool servers. - Token management and optimization. - Context management and handling. - **Agentic AI workflows**. - **Multi-agent orchestration**. - AI error handling and recovery strategies. - Integrating AI-powered features into production applications. ### Additional Android Technical Skills Strong experience in at least **2–3** of the following areas: - **Kotlin Coroutines & Flow** - **DataStore & Room** - **OkHttp & Protocol Buffers** - **WorkManager** ### Testing & Quality - Strong understanding of Android testing and quality engineering practices. - Experience writing and maintaining automated tests. - Experience with automation testing frameworks and testable Android architecture. - Ability to build solutions with strong testability, maintainability, and reliability. - Experience identifying and resolving production defects and stability issues. ### Performance & Scalability - Experience with Android **memory profiling** and performance analysis. - Strong experience with **Firebase crash analysis**. - Ability to diagnose **ANRs and application performance issues**. - Experience optimizing large-scale Android applications. - Understanding of mobile performance constraints and resource management. - Experience working with scalable, modular Android architectures. ### GitHub & Engineering Profile Candidates with an active **GitHub portfolio** are highly preferred. The portfolio should ideally demonstrate: - Multiple Android projects. - Strong Android architecture and scalability. - Kotlin development. - Jetpack Compose. - AI/LLM integrations where applicable. - Clean and maintainable engineering practices. Additional strengths include: - Open-source contributions. - Technical writing. - Public technical projects. - Experience shipping AI-powered mobile features. ### Preferred AI / Technology Exposure Experience with one or more of the following will be highly valued: - Claude / Anthropic - OpenAI APIs - MCP tool servers - LLM-powered applications - Agentic AI systems - AI-powered mobile features - AI-assisted development workflows ### What We're Looking For We are looking for an engineer who can combine **strong Android engineering fundamentals with modern AI capabilities**. The ideal candidate should be able to: - Think architecturally while remaining hands-on. - Work effectively within complex multi-module Android environments. - Build scalable and high-performance mobile applications. - Understand real-world mobile constraints. - Troubleshoot difficult production issues. - Work collaboratively across feature and engineering teams. - Learn and adapt to rapidly evolving AI technologies. - Translate AI/LLM capabilities into practical, production-ready mobile features. - Maintain a strong focus on engineering quality, reliability, scalability, and user experience. ### Education Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline, or equivalent industry experience. ### Preferred Experience Experience working on: - Digital Banking - Mobile Banking - Financial Services - Digital Products - Large-scale consumer applications - AI-powered mobile applications - Enterprise-scale Android platforms ## Apply [Apply at GSSTech Group](https://apply.workable.com/gsstech-group/j/94D597620E/apply) --- Powered by [Workable](https://www.workable.com)