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.

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