Senior Product Engineer (Full Stack)

Doctronic•New York, NY

62d•$180,000 - $240,000•Hybrid

About The Position

Doctronic is seeking a Senior Product Engineer to build features for patients, clinicians, and healthcare partners. This is a full-stack role where engineers work across frontend (Next.js, React, TypeScript) and backend (Python, FastAPI) systems, including data models and production deployment. The role emphasizes working with AI natively, utilizing coding agents for daily tasks such as code exploration, implementation, testing, and debugging. Engineers are responsible for product decisions, system design, and ensuring the correctness of all changes. The company is a leader in AI health guidance and physician access, processing millions of consultations with high accuracy.

Requirements

Experience shipping user-facing products across frontend and backend systems.
Strong skills in at least one part of the stack and the ability to work effectively in the rest.
Good product judgment and attention to interface quality.
Ability to define and deliver a solution when initial requirements are incomplete.
Daily experience directing coding agents, including supplying context, splitting work, verifying results, and deciding when to work directly.
A habit of turning manual engineering work into scripts, tools, or reusable agent workflows.
Sound decisions about privacy, security, accessibility, reliability, and maintainability.
Clear communication with clinical, product, design, AI, and operations teams.
Ability to learn unfamiliar systems and ship across product and backend code.
Experience in healthcare, fintech, AI products, or another regulated field is useful but not required.

Nice To Haves

5+ years of professional experience (preferred, but product shipped and role in shipping are prioritized over exact years).

Responsibilities

Build patient experiences for onboarding, AI consultations, health records, prescriptions, physician visits, and follow-up care.
Connect AI consultations with clinical workflows to facilitate patient treatment.
Translate 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 platforms.
Utilize agents to conduct parallel investigations, accelerate the development cycle, and automate repetitive tasks.
Review product usage and feedback post-launch to enhance features.
Take projects from initial definition through launch and production support.
Work across frontend and backend codebases, including Next.js, React, TypeScript, Swift, Kotlin, Python, and FastAPI.
Manage backend systems using MariaDB, SQLAlchemy, Redis, and Celery.
Deploy and manage services on AWS ECS using Docker.
Integrate with AI providers, telehealth systems, healthcare APIs, and FHIR-based workflows.