Senior Android Engineer, AI Integrated Enterprise Applications
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, mid-level senior Android title, and broad mobile skillset drive high competition.
Core Android and Kotlin skills are transferable, though enterprise scale and LLM integration increase domain specificity.
Explicit 5+ years Android requirement plus mandatory Kotlin and Android tech stack increases shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own architecture and design for high scale, enterprise-grade Android applications across feature teams.
Integrate and manage LLM APIs and MCP frameworks, including token and context handling, multi-agent orchestration, and AI error recovery in production apps.
Diagnose app performance issues, implement crash reporting, and ensure scalable, testable codebases using Hilt/Dagger and MVVM/Clean Architecture within CI/CD workflows.
Minimum Requirements
5+ years Android development experience building enterprise mobile applications at global scale.
3+ years hands-on experience with Kotlin and up-to-date knowledge of the language.
Postgraduate degree in Computer Science or related field, or equivalent industry experience.
Strong expertise with Android SDK, Jetpack libraries, multithreading, memory management, dependency injection (Hilt/Dagger), and architectural patterns (MVVM, Clean Architecture).
Ideal Candidate Profile
Experienced in integrating advanced AI/LLM platforms (e.g., Claude, OpenAI, MCP) into mobile apps with deep understanding of token/context management and agent orchestration.
Able to influence multiple teams technical decisions and articulates architectural tradeoffs clearly to senior/executive stakeholders.
Proactive owner of complex problems who operates independently and is comfortable resolving critical Android issues like ANR during production hours.