Note: The job is a remote job and is open to candidates in USA. Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The AI & Data Systems Engineer will be a key individual contributor responsible for implementing internal AI tools and managing the infrastructure that supports data systems.
Responsibilities
- Implement internal tools and applications based on architectural direction from the Director of Data Architecture & Engineering, including taking stakeholder prototypes and re-engineering them into production-grade systems
- Manage and maintain the infrastructure supporting internal AI tools and data systems, including deployment, configuration, monitoring, and incident response
- Write clean, well-documented code across whatever languages and frameworks the work requires; 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
Skills
- 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 comfort picking up new languages or frameworks as the work demands
- Experience building and maintaining data pipelines, including working with APIs, relational databases, and cloud data platforms
- Working knowledge of DevOps practices and tools: CI/CD pipelines, containerization (Docker), cloud infrastructure (AWS, GCP, or Azure), and infrastructure-as-code concepts
- Demonstrated ability to read and understand existing codebases, including prototypes or AI-generated code, assess their quality, and refactor or rebuild them as appropriate
- Familiarity with enterprise business systems such as Snowflake, Salesforce, NetSuite, or similar platforms, including working with their APIs and data models
- Strong attention to detail
- Good written and verbal communication skills; able to explain technical decisions clearly to non-technical colleagues
- Bachelor's degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience accepted
Benefits
- Performance-based incentive compensation (varies by role)
- Equity opportunities
- 100% Employer paid Health Benefits for Employees
- 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
- 100% paid Life and Long-Term Disability Insurance
- 401(k) with a generous company match
- Employee Stock Purchase Plan (ESPP) with a discount
- Monthly cell phone stipend
- Flexible paid time off
- 13 Paid Holidays + 3 Company Wellness Days
- Excellent parental leave policy
- Fantastic culture with tremendous career advancement opportunities
- Joining a mission-minded organization!
Company Overview