Android Software Engineer (AI)

TL;DR

Android Software Engineer (AI): Building and maintaining production Android applications with an accent on integrating AI-powered features like chat, vision, and voice. Focus on optimizing performance, memory usage, and UX patterns for non-deterministic AI interactions in a high-density, hands-on environment.

Location: Must be based in or able to work from Palo Alto, California (Hybrid)

Company

hirify.global is building a proactive AI system designed to integrate deeply into daily user workflows.

What you will do

• Build and maintain production Android applications using Kotlin.
• Integrate AI features including chat, vision, voice, and recommendation engines via backend APIs.
• Design intuitive UX patterns for AI interactions such as streaming responses and partial results.
• Optimize application performance, memory efficiency, and responsiveness.
• Implement analytics and feedback loops to support ongoing AI model evaluation and iteration.
• Collaborate with backend and ML teams on defining robust API contracts and system behavior.

Requirements

• 3+ years of professional Android development experience using Kotlin.
• Proven experience integrating AI or ML features such as LLMs, vision, or speech APIs.
• Strong command of asynchronous programming paradigms including Coroutines and Flow.
• Experience working with REST or gRPC APIs and complex structured data.
• Strong background in performance profiling and debugging mobile applications.
• Experience shipping production-grade applications on the Google Play Store.

Nice to have

• Familiarity with MLKit or light on-device inference techniques.
• Experience with TensorFlow Lite for mobile AI tasks.
• Understanding of SQL and NoSQL databases in a mobile context.

Culture & Benefits

• Work within a high-talent density, small, and world-class team.
• Emphasis on collective decision-making and rapid, high-quality development speed.
• Focus on building products with meaningful, practical impact for global users.
• Environment that values independent execution and high technical judgment.

Hiring process

• Technical evaluation of application by the team.
• 3 to 4 rounds of interviews conducted via virtual meetings or onsite.
• Emphasis on transparency, efficiency, and prompt decision-making.