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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular Android role, mid-level experience, and Bengaluru metro attract high applicant density.
Mobile engineering skills transfer across industries but LLM/agentic workflow requirements add moderate specialization.
Multiple explicit technical requirements and a 5+ years mandate increase shortlisting rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Design and maintain scalable Gradle architectures for large-scale, multi-module Android applications.
Optimize application performance through memory profiling, crash analysis, and performance tuning using tools like Firebase Crash Reporting.
Integrate AI capabilities including LLM APIs and MCP frameworks into production mobile applications, managing token and context handling as well as agentic workflows.
Minimum Requirements
5+ years of experience in building and maintaining large-scale, multi-module Android applications.
Proficiency in token management, context handling, agentic workflows, and multi-agent orchestration in Android applications.
Hands-on experience with integrating LLM APIs and MCP frameworks in production environments.
Experience with Kotlin Coroutines & Flow, Data Store and Room, OkHttp and Protocol Buffers, or Work Manager; plus skills in memory profiling and Firebase crash analysis.
Ideal Candidate Profile
Strong expertise in architecting scalable and modular Android applications, balancing architectural design with practical delivery.
Experience working with AI-powered features and integration of LLM platforms such as Claude, OpenAI, or MCP tool servers.
Candidate with a proven track record evidenced by an active GitHub portfolio and contributions to open-source projects focused on Android development.