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