Sr. Android Engineer - AI/LLM
LocationBengaluru, Karnataka, India
Typefull-time
SenioritySenior
Company size1,001–5,000 people
PostedSep 24, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Strong hands-on experience in Android development
Strong proficiency in Kotlin
Experience developing large-scale, 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
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: 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
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline, or equivalent industry experience
Active GitHub portfolio
Multiple Android projects in GitHub portfolio
Strong Android architecture and scalability in portfolio
Kotlin development in portfolio
Jetpack Compose in portfolio
AI/LLM integrations in portfolio where applicable
Clean and maintainable engineering practices in portfolio
Open-source contributions
Technical writing
Public technical projects
Experience shipping AI-powered mobile features
Experience with Claude / Anthropic
Experience with OpenAI APIs
Experience with MCP tool servers
Experience with LLM-powered applications
Experience with Agentic AI systems
Experience with AI-powered mobile features
Experience with AI-assisted development workflows
Skills
Android
Kotlin
Jetpack Compose
Gradle
Hilt
Dagger
Firebase Crash Reporting
Crashlytics
LLM APIs
Model Context Protocol (MCP)
Claude
OpenAI
Kotlin Coroutines & Flow
DataStore
Room
OkHttp
Protocol Buffers
WorkManager
GitHub
About the role
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
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Design, develop, and maintain large-scale, multi-module Android applications.
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Build scalable and maintainable Android architectures across multiple feature teams.
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Design and optimize complex Gradle build architectures and improve build performance.
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Develop high-performance, responsive user interfaces using Jetpack Compose.
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Implement robust Firebase Crash Reporting and analyze crash and stability issues.
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Diagnose and resolve memory issues, ANRs, performance bottlenecks, and application stability problems.
•
Implement scalable dependency injection patterns using Hilt/Dagger.
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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.
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Implement and work with token management and context handling for LLM-powered applications.
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Design and integrate agentic AI workflows and multi-agent orchestration where required.
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Implement appropriate AI error recovery and failure-handling strategies.
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Collaborate with engineering, product, QA, architecture, and other cross-functional teams.
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Contribute to code reviews, technical design discussions, engineering standards, and architectural decisions.
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Balance architectural scalability with practical mobile constraints including performance, memory, reliability, and user experience.
Core Technical Requirements
Android Development
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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
Nice to have
Candidates with an active GitHub portfolio are highly preferred.
The portfolio should ideally demonstrate:
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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:
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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:
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Think architecturally while remaining hands-on.
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Work effectively within complex multi-module Android environments.
•
Build scalable and high-performance mobile applications.
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Understand real-world mobile constraints.
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Troubleshoot difficult production issues.
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Work collaboratively across feature and engineering teams.
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Learn and adapt to rapidly evolving AI technologies.
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Translate AI/LLM capabilities into practical, production-ready mobile features.
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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:
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Digital Banking
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Mobile Banking
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Financial Services
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Digital Products
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Large-scale consumer applications
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AI-powered mobile applications
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Enterprise-scale Android platforms