AI FullStack Engineer

Role Overview

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.

Responsibilities

• Build and maintain robust Android applications using Kotlin, Jetpack Compose, and XML layouts.
• Own end-to-end feature delivery — from architecture and UI to API integration, testing, and release.
• Integrate cloud LLM APIs (OpenAI, Anthropic, Gemini, etc.) into mobile apps to power intelligent, user-facing features.
• Build internal AI-powered developer tools — code assistants, smart documentation helpers, automated testing aids, and similar workflow accelerators.
• Design lightweight prompt engineering solutions and manage LLM API call lifecycles.
• Collaborate with backend, QA, design, and product teams in a structured enterprise environment.
• Contribute to reusable internal components or SDKs that make LLM capabilities easier to leverage across the team.

Requirements

• 3–5 years of professional Android development with a portfolio of shipped consumer and/or enterprise applications.
• Hands-on experience integrating at least one AI-powered feature or developer tool into a real product or workflow.
• Strong understanding of Android performance, debugging, and release processes.
• Practical knowledge of LLM concepts — prompts, context engineering, basic RAG, knowledge bases, and latency/cost tradeoffs.
• Familiarity with MCP and how it enables LLM-connected workflows.
• CI/CD experience, automated testing (unit + instrumentation), and comfort with enterprise-grade release processes.

Skills

• Kotlin
• Jetpack Compose
• Android SDK
• LLM API Integration
• Dagger/Hilt