Sr. Android Engineer - AI/LLM

We are looking for an experiencedAndroid Engineerto design, develop, and maintain large-scale, multi-module Android applications for digital banking products.

The ideal candidate should have strong hands-on expertise inAndroid, Kotlin, Jetpack Compose, Gradle, modular application architecture, performance optimization, and automated testing, along with practical experience integratingLLM/AI capabilitiesinto 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 maintainlarge-scale, multi-module Android applications.
• Build scalable and maintainable Android architectures across multiple feature teams.
• Design and optimize complexGradle build architecturesand improve build performance.
• Develop high-performance, responsive user interfaces usingJetpack Compose.
• Implement robustFirebase Crash Reportingand analyze crash and stability issues.
• Diagnose and resolvememory issues, ANRs, performance bottlenecks, and application stability problems.
• Implement scalable dependency injection patterns usingHilt/Dagger.
• Develop highly testable and maintainable Android solutions across multiple modules and feature teams.
• IntegrateLLM APIsand AI capabilities into production Android applications.
• Work withModel Context Protocol (MCP)frameworks and MCP-based integrations in production environments.
• Implement and work withtoken management and context handlingfor LLM-powered applications.
• Design and integrateagentic AI workflows and multi-agent orchestrationwhere required.
• Implement appropriateAI 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 inAndroid development.
• Strong proficiency inKotlin.
• Experience developing large-scale andmulti-module Android applications.
• Strong understanding of scalable Android architecture and modular design.
• Advanced experience withGradleand complex Android build systems.
• Experience optimizing Android build performance.
• Strong hands-on experience withJetpack Composeand modern Android UI development.
• Experience withFirebase Crash Reporting/Crashlyticsand production crash analysis.
• Strong experience diagnosingmemory issues, ANRs, and application performance problems.
• Strong understanding and practical experience withHilt and/or Daggerfor dependency injection.

AI / LLM / MCP Requirements

Hands-on production experience with AI integration is required.

Candidates should have experience with:

• LLM API integrationwithin applications.
• Working with LLM platforms such asClaude, 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 Androidmemory profilingand performance analysis.
• Strong experience withFirebase crash analysis.
• Ability to diagnoseANRs 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 activeGitHub portfolioare 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 combinestrong 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