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:

• 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:

• 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: