We're seeking an experienced Android Engineer to build and maintain large-scale, multi-module Android applications with expertise in complex build systems and AI integration.
Design scalable Gradle architectures Optimize build performance Develop high-performance Jetpack Compose UIs Implement robust Firebase Crash Reporting Diagnose memory and ANR issues Apply strong dependency injection patterns using Hilt/Dagger to ensure scalable, testable solutions across feature teams
Hands-on experience integrating LLM APIs and working with MCP (Model Context Protocol) frameworks in production environments An understanding of token management, context handling, agentic workflows, multi-agent orchestration, and AI error recovery strategies You should also demonstrate expertise in at least 2-3 of the following: Kotlin Coroutines & Flow DataStore and Room OkHttp and Protocol Buffers WorkManager Experience with memory profiling, Firebase crash analysis, performance optimization, and large-scale modular applications is essential. What We're Looking For We value candidates with an active GitHub portfolio featuring multiple Android projects that showcase strong architecture and scalability. Additional strengths include: Open-source contributions Technical writing Experience shipping AI-powered features Experience with LLM platforms such as Claude, OpenAI, or MCP tool servers is highly desirable. Most importantly, you're able to balance architectural thinking with practical delivery, navigating complex modular systems while remaining focused on real-world mobile constraints.
Mandatory Skills
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