AI Software Engineer – Diagnostics and Artificial Intelligence

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Cleveland Clinic

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10,000+ employees

Cleveland Clinic, located in Cleveland, Ohio, is a not-for-profit, multispecialty academic medical center that integrates clinical and hospital care with research and education.

📋 Description

• 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 • 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.

🏖️ Benefits

• Endless support and appreciation • Building a rewarding career with one of the most respected healthcare organizations