Design and ship high-quality Android applications for consumer and enterprise audiences, while leveraging AI/LLM tools to build intelligent product features and accelerate development workflows.
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Build and maintain robust Android applications using Kotlin, Jetpack Compose, and XML layouts.
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Own end-to-end feature delivery — from architecture and UI to API integration, testing, and release.
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Integrate cloud LLM APIs (OpenAI, Anthropic, Gemini, etc.) into mobile apps to power intelligent, user-facing features.
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Build internal AI-powered developer tools — code assistants, smart documentation helpers, automated testing aids, and similar workflow accelerators.
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Design lightweight prompt engineering solutions and manage LLM API call lifecycles — error handling, retries, latency, and cost-awareness on the client side.
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Collaborate with backend, QA, design, and product teams in a structured enterprise environment.
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Contribute to reusable internal components or SDKs that make LLM capabilities easier to leverage across the team.
Skills Required:
Android Developer role demands strong mobile engineering as the foundation, augmented with practical AI/LLM integration experience —
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Kotlin (must-have) — coroutines, flows, modern async patterns
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Jetpack Compose + XML layouts — hands-on with both
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Android architecture — MVVM, clean architecture, Jetpack components (ViewModel, StateFlow, Navigation, Room, WorkManager)
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Dependency injection — Hilt or Koin
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LLM API integration — calling and consuming OpenAI, Anthropic, Gemini or equivalent in production
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Prompt engineering basics — context management, token usage, cost tradeoffs
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RAG (Retrieval-Augmented Generation) — working knowledge of retrieval pipelines and when to apply them
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Knowledge base construction — familiarity with chunking, embedding, and indexing content for LLM consumption
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MCP (Model Context Protocol) — basic awareness of how tools, APIs, and data sources connect to LLM workflows
Ideal Profile:
