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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