AI&DataSystemsEngineer

About Ceribell Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement! Position Overview: The AI apply sound engineering practices around testing, version control, and code review. Evaluate and integrate AI tools and third-party services into internal workflows where they provide clear value, with attention to security, cost, and long-term maintainability. Contribute to data quality practices: implementing automated checks, investigating pipeline failures, and helping establish clear data ownership and lineage. Collaborate with stakeholders across the business to understand requirements, surface technical tradeoffs, and deliver solutions that meet actual needs rather than assumed ones. Support access control and permissions management across systems and tooling, contributing to the team’s broader security and governance practices. Maintain thorough documentation of systems, data flows, and processes so that institutional knowledge is preserved and accessible. Other responsibilities as assigned by your Manager/Supervisor What We're Looking For: 3 - 6 years of hands-on experience in a technical role spanning some combination of software development, data engineering, and infrastructure or DevOps work. Experience implementing and deploying AI solutions in a production environment, including model integration, API usage, and operational maintenance. Proficiency in at least one general-purpose programming language (e. g. Python) and co