Software Engineer | AI x Healthcare (NYC)

Deya; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Deya is building an AI platform for eye care, capturing longitudinal data with images and outcomes to power remote patient care. You will contribute to architecture, product, and AI systems from day one in a high-ownership, fast-moving team.

The role focuses on full-stack development across frontend, backend, and infra, including building AI-enabled workflows and scalable pipelines for clinical data.

Qualifications

• Shipped real products end-to-end.
• Comfortable across the stack (frontend, backend, infra).
• Experience building production AI/ML systems.
• Excited and comfortable using AI tooling for development.

Responsibilities

• Full-stack product development (Next.js, backend services, cloud infra).
• Agentic workflows for patients and clinicians.
• Computer vision pipelines for ocular imaging.
• Infrastructure for longitudinal clinical datasets.
• Core architecture decisions across the stack.

Skills

Full-stack development

Frontend & Backend

AI/ML systems

Proactive ownership

Healthcare tech experience

Job description

Software Engineer | AI x Healthcare (NYC)

NYC (Hybrid) - Remote Posted Aug 17, 2026

About the role

This is a high ownership, high velocity role where you'll work alongside the core team to shape the technical foundation of the company.

Most AI in healthcare is being built in the wrong place.

Everyone is chasing scribes and diagnostics. Almost no one is building the longitudinal data layer that captures what actually happens to patients over time.

That's the real moat.

We're building that layer for eye care.

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.

The role

We're looking for a software engineer to help build this from the ground up.

You will help define architecture, product, and AI systems from day one.

This is a high ownership, high velocity role you'll work alongside the core team to shape the technical foundation of the company.

What you'll work on

• Full-stack product development (Next.js, backend services, cloud infra)
• Agentic workflows for patients and clinicians
• Computer vision pipelines for ocular imaging
• Infrastructure for longitudinal clinical datasets
• Core architecture decisions across the stack

How we build

AI is part of our daily development workflow: writing and reviewing code, exploring unfamiliar systems, and moving quickly across a broad stack with a small team. We expect you to already work this way, to have real opinions about where these tools earn their keep and where they get in the way, and to be someone who takes full responsibility for reviewing and testing what comes out of them.

Who you are

• Strong builder: you've shipped real products end-to-end
• Comfortable across the stack (frontend, backend, infra)
• Experience building production AI/ML systemsExcited and comfortable using AI tooling for development.
• Fast, scrappy, and high ownership
• Bonus: experience with healthcare technology and EHR integrations

Why this is a unique moment

• Eye care is a massive, overlooked wedge in healthcare
• Data is fragmented, workflows are broken, and AI hasn't been meaningfully applied
• We're in a position to capture a category-defining dataset early
• The combination of longitudinal data + vision + LLMs is extremely underbuilt

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