Note: The job is a remote job and is open to candidates in USA. Cleveland Clinic Health System is a highly respected healthcare organization committed to excellence. The AI Software Engineer will design, develop, deploy, and maintain AI applications, bridging advanced machine learning models with real-world software solutions.
Responsibilities
- Design, develop and deploy web applications and APIs that meet product requirements
- Work closely with domain experts, AI/ML scientists, and other engineers to translate requirements into robust and scalable solutions
- Drive the architectural decisions for new products and services to ensure scalability
- Write high quality, efficient, and well-documented code. Conduct code reviews and mentor junior team members
- Integrate applications with a variety of external APIs and data services
- Debug, test, and optimize applications
- Keep up-to-date with emerging trends and technologies in software engineering and AI application development
- Collaborate with cyber security to protect sensitive information
- All other duties as assigned
Skills
- Bachelor Degree in Computer Science or related engineering fields
- Experience with Epic data stores and modules, including Chronicles, Clarity, and Caboodle
- Experience with modern data and AI/ML platforms such as Databricks and Snowflake
- Familiarity with AI agent development frameworks and tools such as LangGraph, Swarm, and MCP
- Solid understanding of AI and machine learning concepts and techniques
- 5+ years of experience in software and application development
- Proficiency in modern frontend technologies including HTML5, CSS3, JavaScript/TypeScript, and frameworks such as React or Angular
- Strong proficiency in backend programming languages such as Python, Java, or similar languages
- Proven experience designing and consuming APIs and RESTful web services
- Experience integrating with Epic Electronic Health Record (EHR) systems, including standards such as FHIR, HL7, and SMART on FHIR
- Hands-on experience with cloud platforms such as Azure and Google Cloud Platform (GCP)
- Experience with DevOps tools and practices including Git, CI/CD pipelines, Docker, job orchestration, monitoring, and cloud-native deployment workflows
- Understanding of security best practices and experience implementing secure coding standards
- Master's Degree
- 10+ years of experience in both: Full-stack AI/ML solution development and Integrating AI/ML into existing tools
- Strong experience with image and video data
Company Overview
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