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Cleveland Clinic

Your source for health news, tips and information from one of the nation’s top hospitals.

AI Software Engineer – Diagnostics and Artificial Intelligence

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

North America

Posted

2 days ago

Salary

0

Seniority

Senior

Job Description

AI Software Engineer – Diagnostics and Artificial Intelligence

Cleveland Clinic

• 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.

Job 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

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