AI Software Engineer

Cleveland Clinic

1d•Remote

About The Position

Join the Cleveland Clinic team where you will work alongside passionate caregivers and provide patient-first healthcare. You will work alongside dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. The AI Software Engineer will be responsible for designing, developing, deploying, and maintaining scalable AI-driven applications. In this role, you’ll contribute across the stack—integrating back-end systems and databases, building intuitive front-end interfaces, and deploying solutions in the cloud. You will collaborate closely with AI scientists and domain experts to translate models into production-ready tools that enhance end-user workflows. The ideal candidate in this role possesses a passion for healthcare, curiosity, flexibility, and a can-do attitude with a bias toward action. A caregiver in this position works Monday-Friday 8:00am—5:00pm, remotely out of Florida, Nevada, or Ohio, with a preference out of Northeast Ohio.

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

Nice To Haves

Master's degree

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.

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