Senior Software Engineer, Full Stack - Reporting Product

present of AI; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Rad AI in San Francisco seeks a Senior Software Engineer, Full Stack, reporting product to build and extend a web app used by radiologists. You’ll work across a React and TypeScript frontend and a Python/FastAPI backend with REST APIs and machine learning pipeline services.

A candidate brings 6+ years of full-stack experience, comfort with SQL and document databases, and a focus on security, testing and performance in a regulated health setting.

Qualifications

• 6+ years of full-stack development experience.
• Proficiency with React and TypeScript frontend.
• Strong Python and FastAPI backend skills.
• Experience with REST APIs and ML pipelines.
• Familiarity with health data standards (FHIR/HL7) and HIPAA.

Responsibilities

• Build and extend a web app used by radiologists.
• Collaborate with product, design and customer teams.
• Ship features and fix defects in a regulated health setting.
• Ensure security, testing and performance of AI-backed features.

Skills

React

TypeScript

Python

FastAPI

REST API

ML pipelines

SQL

Document databases

Security

Testing

Performance

Tools

SQL

PostgreSQL

FHIR

HL7

Job description

Senior Software Engineer, Full Stack - Reporting Product

Engineering · San Francisco - Onsite · FullTime · Senior level

The role asks for a full stack engineer to build and extend a web application used by radiologists, working across a React and TypeScript front end and a Python and FastAPI back end with a REST API and machine learning pipeline services. A strong candidate brings six or more years of full stack work, comfort with relational and document databases, and care for security, testing and performance in a regulated health setting. The person also needs to work closely with product, design and customer teams to ship features and fix defects.

How it fits the AI era

The product itself is generative AI software for radiology, so the engineer builds the interface and services that carry AI drafted report impressions to doctors. Much of the work is ordinary web engineering: reliable APIs, responsive screens, data storage and performance at scale. What stays human is judgment about safety, security and how clinicians actually use the output in daily practice.

How it builds AI experience

Working here gives direct exposure to shipping features on top of generative AI models inside a health product, including how model output is surfaced and reviewed. A candidate can build readiness by learning how machine learning pipelines feed web services and by getting familiar with health data standards such as FHIR and HL7. Experience with testing and performance work on AI backed features would strengthen an application.

Worth showing

• React and TypeScript
• Python and FastAPI
• SQL and document databases
• Testing and performance tuning
• HIPAA or health data work

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Rad AI

Rad AI builds generative AI software for radiology that drafts report impressions, speeds up reporting, and tracks follow-up on incidental findings, per the company.