Full-Time Staff Software Engineer, AI Products
Rad AI is hiring a remote Full-Time Staff Software Engineer, AI Products. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
Rad AI
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About Rad AI We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We've also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems leverage the latest Gen AI advancements.
What you’ll be doing:
- Developing powerful solutions leveraging AI to streamline healthcare tasks and improve patient care.
- Working with ML Engineers, Research Scientists, and Product Software Engineers to implement AI solutions directly in full-stack applications.
- Implementing tools and processes to monitor model behavior, performance, and alignment with user needs through the full lifecycle of AI development.
- Working on a stack including modern Javascript (React/Typescript) frontend, FastAPI Python backend, RESTful service architecture, and modern data pipeline tools.
- Writing high-quality code meeting internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment.
- Working with a highly cross-functional team including product managers, UX researchers, customer success, and other stakeholders.
Who we’re looking for:
- 6+ years of industry full-stack engineering experience with single and multi-tenanted environments
- In-depth knowledge of Javascript/TypeScript, Python and FastAPI, or equivalent modern languages/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
- Experience with data modeling and data pipeline design
- Experience with unit and integration testing
- Experience working on a distributed team and strong version control skills using Git
- Excellent communication and technical coordination skills
Nice To Haves:
- Experience with Typescript and React
- Experience with Python, FastAPI, Starlette, SQLAlchemy
- Experience with PostgreSQL
- Experience working at an early-stage startup
- Experience in a HIPAA-compliant environment, especially with FHIR and HL7
- Experience working on machine learning products