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Staff Software Engineer, AI

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💎 Seniority level: Staff, 6+ years

📍 Location: United States

🔍 Industry: Software Development

🏢 Company: Rad AI👥 101-250💰 $60,000,000 Series C about 2 months agoArtificial Intelligence (AI)Enterprise SoftwareHealth Care

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: Backend DevelopmentPostgreSQLPythonSQLFrontend DevelopmentFull Stack DevelopmentGitHTMLCSSJavascriptMachine LearningTypeScriptAlgorithmsData StructuresFastAPIREST APIReactRESTful APIsMicroservicesData modelingSoftware Engineering

Requirements:
  • 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, as well as other large scale data storage paradigms
  • Knowledge of modern web architecture and best practices
  • Fluency with HTML, CSS, responsive design, and other related web technologies
  • Experience with data modeling and data pipeline design to support product and ML monitoring, evaluation, and iteration
  • 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 (you will be working across infrastructure spanning multiple areas and products, and communication and coordination skills will be key to your success)
Responsibilities:
  • Developing powerful solutions that leverage 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 our 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 that includes a modern Javascript (React/Typescript) frontend, FastAPI Python backend, a RESTful service architecture, and a variety of modern data pipeline tools.
  • Writing high quality code that meets our 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.
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