Hybrid Full-Stack Product Engineer, AI Health

doctronic; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Hybrid work

Health benefits

Benefits reimbursement

Job summary

Doctronic in New York City or San Francisco (hybrid) is seeking a Senior Product Engineer to build features used by patients, clinicians, and healthcare partners. This is a full-stack role spanning Next.js, React, TypeScript, Python, and FastAPI.

You will work across patient workflows and clinical use cases, applying AI-native coding practices to ship complete features with strong ownership of design and production reliability.

Qualifications

• Experience shipping user-facing products across frontend and backend systems.
• Ability to work across patient workflows and clinical use cases.
• Comfort using AI-assisted coding and automation tools.
• Strong ownership of product decisions and system design.

Responsibilities

• Build patient experiences for onboarding, AI consultations, health records, prescriptions, physician visits, and follow-up care.
• Connect AI consultations with clinical workflows so patients can move from guidance to treatment.
• Turn new clinical and AI capabilities into clear product features with appropriate safeguards.
• Build tools and integrations for clinicians and healthcare partners.
• Improve performance, accessibility, privacy, and reliability across web and mobile.
• Use agents to run parallel investigations, shorten the path from idea to tested production code, and turn repeated work into shared automation.
• Review product usage and feedback after launch, then improve the feature.

Skills

Full-stack development

Product engineering

UI/UX awareness

AI-enabled products

Tools

Next.js

React

TypeScript

Python

FastAPI

Docker

AWS ECS

Job description

Doctronic in New York City or San Francisco (hybrid) is seeking a Senior Product Engineer to build features used by patients, clinicians, and healthcare partners. This is a full-stack role spanning Next.js, React, TypeScript, Python, and FastAPI.

You will work across patient workflows and clinical use cases, applying AI-native coding practices to ship complete features with strong ownership of design and production reliability.