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Tier-1 brand, metro location, and mid-level generalist title drive high competition despite AI specialization.
Core Android engineering is transferable, but LLM and enterprise integration increase domain specificity.
Explicit 2-4 years plus mandatory Kotlin, Android, and LLM integration experience enforces strict screening.
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Design, develop, and maintain high-quality Android applications using Kotlin, Jetpack Compose, and XML for consumer and enterprise users.
Integrate cloud LLM APIs (e.g., OpenAI, Anthropic, Gemini) to build intelligent product features and internal AI-powered developer tools.
Own end-to-end feature delivery including architecture, UI, API integration, testing, and release management in a structured team environment.
2-4 years of professional experience in Android development.
Proficient in Kotlin including coroutines and flows, Jetpack Compose and XML layouts, and Android architecture patterns such as MVVM and Jetpack components.
Experience integrating LLM APIs (OpenAI, Anthropic, Gemini or equivalent) in production applications.
Knowledge of dependency injection frameworks like Hilt or Koin.
3-5 years of Android development experience showcasing shipped consumer or enterprise apps.
Hands-on experience building AI-powered features or developer tools using LLM integration in real products or workflows.
Strong understanding of Android performance optimization, debugging, CI/CD, automated testing, and enterprise release processes, along with practical knowledge of LLM concepts including prompt engineering, RAG, knowledge bases, and MCP workflows.