AI Software Engineer - Center for Diagnostics and Artificial Intelligence

Cleveland Clinic

3d•Remote

About The Position

Join the Cleveland Clinic team where you will work alongside passionate caregivers and provide patient-first healthcare. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world. The AI Software Engineer designs, develops, deploys, and maintains scalable, production-ready AI applications and systems. This role bridges advanced machine learning models and real-world software solutions, working across the full technology stack—from data pipelines, backend services, and model integration to user-facing applications and cloud-based deployment. The AI Software Engineer partners closely with AI researchers, data scientists, and domain experts to translate innovative AI capabilities into secure, reliable, and high-performance applications that deliver measurable business value. This is the first AI-focused Software Engineer role for the team, expanding beyond traditional software development. The position will focus on building full-stack AI/ML solutions, integrating AI features into existing tools, and working heavily with image, video, and text data. A caregiver in this position works 8:30am—5:00pm.

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

Nice To Haves

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

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