Latest AI JobsBrowse Jobs
Doctronic logo

Senior Product Engineer (Full Stack)

DoctronicSan FranciscoEngineering
Apply on company site
Salary
$180K - $240K USD
Job type
Full-time
Work mode
Remote
Posted
9 Sept 2026
Status
Open · checked 7d ago

About this role

Doctronic is currently hiring a Senior Product Engineer (Full Stack) to join the engineering team in San Francisco with remote flexibility. This full-time position suits an experienced developer who wants to build digital health products that connect patients with AI-driven medical guidance and human physicians.

Role Overview

The Senior Product Engineer builds complete features utilized by patients, healthcare partners, and clinicians. This is an integrated full-stack position where engineers handle everything from patient workflows in Next.js to FastAPI endpoints, database models, and production deployment. Team members operate AI-natively, utilizing coding agents daily for coding, planning, testing, and debugging while retaining full ownership of product decisions and system architecture.

Key Responsibilities

Build patient experiences covering onboarding, AI consultations, prescriptions, health records, physician visits, and follow-up care.
Bridge AI consultations and clinical workflows to seamlessly transition patients from initial guidance to medical treatment.
Translate new clinical and AI capabilities into polished product features featuring proper safeguards.
Develop tools and integrations tailored for healthcare partners and clinical staff.
Enhance web and mobile performance, privacy, accessibility, and reliability.
Leverage AI agents for parallel investigations, fast-tracking code to production, and automating repetitive tasks.
Evaluate product usage and user feedback post-launch to continuously refine features.

Requirements

Demonstrated experience launching user-facing applications spanning frontend and backend systems.
Strong proficiency in at least one segment of the stack alongside the capability to navigate the rest.
Strong product sense paired with an eye for interface quality.
Ability to drive solutions to completion when initial project requirements remain partial.
Routine daily practice directing coding agents, including context supply, task splitting, and result verification.
Consistent habit of converting manual engineering tasks into automation, scripts, or reusable agent workflows.
Sound judgment regarding data privacy, security, maintainability, accessibility, and reliability.
Effective communication skills suited for collaborating with clinical, design, product, AI, and operations teams.
Typically brings 5+ years of professional engineering experience, though focus centers on shipped products rather than specific degrees.

Skills and Tools

Python
React
TypeScript
Next.js
FastAPI
MariaDB
SQLAlchemy
Redis
Celery
Docker
AWS ECS
Swift
Kotlin

Salary and Benefits

Base salary ranging from $180,000 to $240,000 per year for San Francisco and New York City.
Company equity.
Benefits reimbursement.

About the Company

Doctronic operates as an AI doctor platform providing free, anonymous, and HIPAA-compliant AI health guidance alongside affordable human physician visits available 24/7. Managing millions of consultations monthly with a high treatment-plan accuracy validated by board-certified clinicians, Doctronic is backed by prominent investors including Union Square Ventures, Lightspeed Venture Partners, and Abstract.

How to Apply

Interested candidates should visit the official Doctronic careers page to submit an application for the Senior Product Engineer position.

Skills and tech stack

PythonAWSDockerReactTypeScript

Questions candidates ask

What is the salary for the Senior Product Engineer role?

The base salary ranges from $180,000 to $240,000 per year, plus equity and benefits reimbursement.

Where is the position located?

The role is based in San Francisco with remote flexibility.

What stack does Doctronic use?

The production stack includes Next.js, React, TypeScript, Swift, Kotlin, Python, FastAPI, MariaDB, SQLAlchemy, Redis, Celery, Docker, and AWS ECS.

How are AI tools used in daily work?

Engineers work AI-natively by utilizing coding agents every day for code exploration, planning, implementation, testing, debugging, and automation.

What level of experience is required?

While many candidates possess 5+ years of professional experience, the company prioritizes demonstrated experience in shipping products over specific degree requirements.

Ready to apply?

The application is on the official Doctronic careers page.

Apply on company site