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Deya

Mobile Engineer | React Native, Swift & Kotlin

northern, KY

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About this opportunity

Deya lists this Mobile Engineer | React Native, Swift & Kotlin opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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Mobile Engineer | React Native, Swift & Kotlin

NYC / Hybrid / Remote Posted Aug 17, 2026

About the role

You'll own the app patients actually hold. The only surface between them and their care, with high ownership over both the engineering and the design.

For our patients, the app is the entire product.

There’s no dashboard to fall back on, no rep to walk them through onboarding, and no second chance if a capture flow confuses them. If the app is hard to use, the patient stops using it and the care stops with it.

That’s why mobile is one of the most consequential surfaces at Deya, and the one we’re most deliberate about.

What we’re building

Deya is an AI platform that sits between doctor and patient, and captures symptoms, treatments, outcomes, and images over time to deliver remote patient care.

We already have the largest dataset of eye images captured on a smartphone and are currently piloting our platform with eye doctors and collecting real patient data.

The goal: build the largest longitudinal dataset in eye care (behavior + outcomes + ocular images) captured from connected devices, and use it to power AI systems that extend and improve clinical eyecare.

Every one of those images and every symptom report comes through the app. The phone isn’t a companion to the product; it’s the instrument.

The role

We’re looking for a mobile engineer to own the Deya patient app: architecture, camera and capture pipeline, performance, and the experience itself.

You’ll work in React Native, dropping into Swift and Kotlin where the native layer matters, and for camera work, feeding a clinical image pipeline.

This is a high ownership, high velocity role . You’ll work directly with our clinicians and with the core engineering team, and you’ll have real authority over how the patient experience works.

What you’ll work on

The Deya patient app and doctor app: React Native, Swift and Kotlin

Camera and image-capture flows that produce clinically usable ocular images from a handheld phone

Guided capture: real-time feedback on framing, focus, and lighting, with retry logic that gets a good image quickly

Longitudinal patient flows: symptom check-ins, treatment adherence, and reminders people actually complete

Offline resilience, secure local handling of health data, and upload reliability on poor connections

Accessibility and legibility for older patients and patients with impaired vision: a real constraint in eye care, not an afterthought

Design and interaction decisions alongside the team, from wireframe to shipped detail

Release, instrumentation, and crash/quality monitoring across iOS and Android

How we build

Claude is part of our daily development workflow, and we want someone who already builds this way, using it to move fast across React Native and two native platforms without letting quality slip. That means real judgment about where these tools help and where they don’t, and full ownership of reviewing and testing what comes out of them.

Who you are

You’ve shipped real mobile apps that real people use, and supported them after launch

Familiar with native hardware and software capabilities of the iPhone and Android devices.

Strong in React Native, comfortable writing native Swift, and some Kotlin

UX and UI-minded: you have taste, you have opinions about interaction, and you can argue for them

You think about the person holding the phone: their age, their eyesight, their patience, their connection

Excited and comfortable using AI tooling for development

Bonus: camera/media pipelines, on-device ML, computer vision, or health app experience

Fast, scrappy, and high ownership

Why this is a unique moment

The patient surface in eye care is almost entirely unbuilt; there’s no incumbent experience to imitate

Your design decisions directly determine the quality of a category-defining clinical dataset

Clinician-led team: optometrists and ophthalmologists in-house to pressure-test what you buildReal patients using it now, so feedback loops are days, not quarters

This is not incremental. It’s a chance to help define the layer everything else will sit on.

Details

Full-time

NYC (hybrid)

Competitive salary + equity

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