Android Engineer

Zing Coach is the world’s first AI Fitness Personal Trainer, revolutionizing the way people approach health and wellness. Five years ago, we set out to replace traditional PT sessions with smart, personalised, motivating guidance powered by AI. We’re not just another app – we’re a movement, on a mission to help everyone reach their full physical and mental potential.

Zing adapts workouts in real time using movement data, body analysis, and recovery signals. Android is our fastest-growing platform — especially in MENA and LATAM, where we're scaling across a huge range of devices and hardware capabilities. We're looking for an Android Engineer to own that experience end-to-end.

Responsibilities

• Real-time workout flows – live exercise player, interactions and corrections during exercise

• Camera for on-device CV + sensor fusion for body scan & fitness analysis

• Build features both for Zing core app and B2B SDK used within partners' ecosystems

• Device fragmentation at scale, making all of the above work reliably on a budget Xiaomi in Cairo, not just a Pixel in a test lab

• Translate design mockups and wireframes into high-quality system

We expect that you have

• Production Android experience — apps with lots of real users, real crash reports, real performance issues

• Use Jetpack Compose, Kotlin, Coroutines as daily tools; comfortable with DI frameworks (Dagger2/Hilt), modular architecture patterns (MVVM/MVI), GitFlow workflow

• Strong understanding of asynchronous code on Android — concurrency, cancellation, async updates, partial data, and retry logic

• Experience working with local persistence using Room

• Understanding of background work on Android — background services, platform limitations, wake locks, and health data integrations

• Performance improvements on real devices — profiling, memory, battery, thermal constraints

• Experience with at least one of: camera APIs, sensor data, real-time processing on mobile

• Ability to own a feature from problem definition through production monitoring

• Comfort with complex backend integration — async updates, partial data, retry logic

• Advanced LLM-assisted development flows

• On-device ML or CV experience (TFLite, MediaPipe, CameraX pipelines)

Why working at Zing is awesome

• Be part of the fastest-growing fitness and lifestyle startup

• Help shape the internal engine of one of the most exciting AI consumer product

• Excellent work environment: the company is small enough to be person-oriented

• Remote-friendly environment with the option to collaborate in-person

Come be a part of something extraordinary at Zing AI Coach – where innovation meets inspiration, and every day brings new opportunities for growth and impact. Join us and help us create an exceptional user experience for Zing Coach!