Sr. Android Engineer - AI/LLM

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.

• 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.

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.

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.

Strong experience in at least 2–3 of the following areas:

• Kotlin Coroutines & Flow
• DataStore & Room
• OkHttp & Protocol Buffers
• WorkManager

• 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.

• 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.

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.

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

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.

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline, or equivalent industry experience.

Experience working on:

• Digital Banking
• Mobile Banking
• Financial Services
• Digital Products
• Large-scale consumer applications
• AI-powered mobile applications
• Enterprise-scale Android platforms