Senior Software Engineer, Full Stack

United States

Apply with AI Apply

$145,000 – $190,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial Intelligence, SaaSIndustries

Requirements

Candidates should possess 5+ years of industry full stack engineering experience in single and multi-tenanted environments, with in-depth knowledge of Javascript/TypeScript, Python, and FastAPI, or equivalent modern languages/frameworks. A strong understanding of relational and document-based databases, modern web architecture, and best practices including HTML, CSS, responsive design, cross-browser compatibility, accessibility, browser networking, and browser APIs is required. Experience with unit and integration testing, distributed teams, Git version control, and diagnosing/preventing performance and optimization problems at scale is also necessary. Nice-to-have qualifications include experience with TypeScript and React, Python, FastAPI, Starlette, SQLAlchemy, PostgreSQL, 3rd-party integrations like Auth0 and Amplitude, early-stage startup environments, HIPAA-compliant environments (FHIR, HL7), and machine learning.

Responsibilities

The Senior Software Engineer will develop large-scale progressive and single-page web applications to streamline user workflows and enhance efficiency. They will work on a modern Javascript (React/TypeScript) frontend application and develop Python/FastAPI backend services, including REST APIs and ML pipeline services. Responsibilities also include building new features for a growing customer base, writing secure, maintainable, and best-practice code for a high-scale HIPAA web environment, and collaborating with Product Management, UX, Customer Success, and other stakeholders to iterate on features and address defects. The engineer will also advocate for improvements in product quality, security, and performance.

Skills

Full Stack Development

React

Typescript

Javascript

Web Applications

Database

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees