Cleveland Clinic is a respected healthcare organization seeking an AI Software Engineer to design, develop, deploy, and maintain scalable AI-driven applications. The role involves collaborating with AI scientists and domain experts to translate models into production-ready tools that enhance end-user workflows.
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
Requirements:
- Bachelor degree in Computer Science or related engineering fields
- 5+ years of experience in software and application development
- Experience with Epic modules and data stores (Chronicles, Clarity, Caboodle)
- Experience with modern data and ML/AI platforms such as Databricks and Snowflake
- Familiarity with AI agent development technologies and tools such as LangGraph, Swarm, MCP
- Familiarity with AI and ML concepts and techniques
- Proficiency in modern frontend technologies such as HTML5, CSS3, JavaScript/TypeScript and frameworks such as React or Angular
- Strong proficiency in programming languages such as Python, Java, or similar languages
- Proven experience with APIs and RESTful web services
- Experience with the Epic Electronic Health Record (EHR) system and API such as FHIR/HL7, SMART on FHIR
- Experience in using DevOps tools and processes such as Git, Azure Dev Ops, CI/CD, Docker, job orchestration tools, and monitoring tools on cloud platforms
- Hands-on experience with cloud platforms such as Azure and GCP
- Understanding of security best practices and experience implementing secure coding standards
- Master's degree