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!