Senior Software Engineer, Full Stack - Reporting Product (AI)

Location: San Francisco, onsite four days per week with remaining time remote or onsite; remote candidates may be located anywhere in the United States.

Salary: $150K–$224K annually plus equity.

Company

hirify.global develops AI-powered radiology solutions that reduce reporting errors, improve physician efficiency, and support patient care.

What you will do

• Develop large-scale progressive and single-page web applications that streamline radiology workflows.
• Build and maintain modern JavaScript, React, and TypeScript frontend functionality.
• Develop Python and FastAPI backend services, including REST APIs and ML pipeline services.
• Build features for a rapidly growing customer base.
• Write secure, maintainable, performant code for a high-scale HIPAA web environment.
• Collaborate with Product Management, UX, Customer Success, and internal and external stakeholders on features, defects, quality, security, and performance.

Requirements

• 6+ years of industry experience in full-stack engineering across single- and multi-tenant environments.
• In-depth knowledge of JavaScript/TypeScript, Python and FastAPI, or equivalent modern languages and frameworks.
• Knowledge of relational and document-based databases and other large-scale data storage paradigms.
• Knowledge of modern web architecture and best practices.
• Fluency with HTML, CSS, responsive design, and related web technologies.
• Familiarity with cross-browser compatibility, accessibility, browser networking, and browser APIs including IndexedDB and WebSockets.
• Experience with unit and integration testing, distributed teams, and Git-based version control.
• Experience diagnosing and preventing performance and optimization problems at large scale.

Nice to have

• Experience with TypeScript, React, Python, FastAPI, Starlette, SQLAlchemy, and PostgreSQL.
• Experience with third-party integrations such as Auth0 and Amplitude.
• Early-stage startup experience.
• Experience in HIPAA-compliant environments, especially with FHIR and HL7.
• Experience working on machine learning.
• Test-driven development experience.

Culture & Benefits

• Cross-functional collaboration with Full Stack Engineers, ML Engineers, Product Leaders, and other teams.
• Onsite work in San Francisco four days per week for onsite roles; remaining time may be remote or onsite according to team and business needs.
• Medical, dental, vision, and life insurance, plus HSA with employer match, FSA, and DCFSA.
• 401(k), 11 paid company holidays, flexible PTO, and annual equipment stipend.
• Annual company-wide and periodic team offsites.