Senior Software Engineer - Health Data Platform

present of AI; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Rad AI is hiring a Senior Software Engineer for a health data platform in San Francisco. You will develop and maintain backend services using Python and FastAPI, with a React/TypeScript frontend.

The role emphasizes secure, scalable data processing that feeds AI products in radiology. Ideal candidates have 6+ years in full-stack engineering, strong database knowledge (relational and document stores), and experience with testing, version control, and performance tuning at scale.

Qualifications

• 6+ years of full-stack software engineering experience.
• Proficient in Python and FastAPI.
• Frontend skills with React and TypeScript.
• Strong database knowledge across relational and document stores.
• Experience with testing, version control, and performance tuning at scale.
• Familiarity with health data formats and secure web environments.

Responsibilities

• Build and maintain backend systems for a healthcare data platform.
• Contribute to pipelines and services moving health data to and from AI tools.
• Ensure data accuracy, security, and reliability in production.
• Collaborate with frontend engineers to deliver cohesive UX.

Skills

Python

FastAPI

TypeScript

React

Full stack

Testing

Version control

Performance tuning

Health data security

Tools

HL7

FHIR

SQL

NoSQL

Job description

Senior Software Engineer - Health Data Platform

Engineering · San Francisco - Onsite · FullTime · Senior level

This role centers on building and maintaining the backend systems behind a healthcare data platform, with heavy work in Python and FastAPI plus a React and TypeScript frontend. A strong candidate brings six or more years of full stack engineering, solid database knowledge across relational and document stores, and comfort with testing, version control, and performance tuning at scale. Experience with health data formats and secure web environments helps, since the work connects directly to products customers use.

How it fits the AI era

The platform feeds the company's generative AI products, so this engineer builds the pipelines and services that move health data into and out of those tools. AI speeds up drafting and reporting, but the plumbing that keeps data accurate, secure, and reliable still needs careful human design. The role sits close to the AI without requiring model building, which keeps the engineering judgment central.

How it builds AI experience

Working here means gaining hands on exposure to ML pipeline services and the data flows that support generative AI in radiology. A candidate can build readiness by learning health data standards like HL7 and FHIR and by practicing Python service work with FastAPI. Familiarity with machine learning workflows and secure health environments would strengthen a case for this team.

Worth showing

• Python and FastAPI
• TypeScript and React
• HL7 and FHIR
• Testing and performance tuning

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.