Lead Android Engineer (AI)

TL;DR

Lead Android Engineer (AI): Own the end-to-end Android codebase for a personal AI English tutor app with an accent on real-time audio/video conversational flows, animated avatar interactions, and low-latency AI integrations. Focus on optimizing performance for sub-100ms latency, on-device AI inference, and scalable architecture for hundreds of thousands of global users.

Hybrid in Tel Aviv

Company

hirify.global is building the first-ever personal AI English tutor to revolutionize education and break down language barriers.

What you will do

• Own the Android codebase end-to-end, from architecture to release
• Build and optimize real-time audio/video conversational flows with sub-100ms latency targets
• Drive rendering performance for avatar-based and animated UI components
• Ensure robust, low-latency integration with AI backend services (REST / gRPC / streaming APIs)
• Optimize threading, coroutines, memory usage, and lifecycle management
• Integrate on-device AI inference capabilities and manage client-side processing
• Own CI/CD pipelines and release processes
• Collaborate with Android team, Product, Design, and AI/backend teams, mentoring developers and driving architectural decisions

Requirements

• 6+ years of production Android development
• Deep proficiency in Kotlin; solid understanding of Java
• Advanced knowledge of Android concurrency — Coroutines, Flow, threading, dispatchers
• Strong understanding of Android lifecycle, memory model, and performance profiling
• Experience building real-time audio/video applications with streaming APIs and low-latency systems
• Solid mobile networking fundamentals — interceptors, retry logic, caching, backoff strategies
• Experience with CI/CD automation and release pipelines
• Experience evolving and maintaining production consumer apps — managing backward compatibility, gradual rollouts, and feature iteration
• Strong debugging and performance optimization instincts
• Solid understanding of mobile security best practices — authentication flows, JWT handling, secure token storage, and session lifecycle management

Nice to have

• Experience with AI-powered mobile products
• On-device ML inference (TensorFlow Lite, ONNX, or similar)
• WebRTC or other real-time communication protocols
• Modularization of large Android codebases
• Experience scaling apps with large active user bases
• Familiarity with observability tooling (Crashlytics, performance monitoring, custom metrics)
• Experience working with and coordinating distributed development teams