Key skills

HTML5 and CSS3JavaScript and TypeScriptReact and AngularPython and JavaRESTful APIsFHIR/HL7 and SMART on FHIREpic EHR ChroniclesEpic EHR ClarityEpic EHREpic EHR CaboodleGit, Azure DevOps, CI/CD, and DockerAzure and GCPSecure codingDatabricks and SnowflakeLangGraph, Swarm, and MCPJavaScriptTypeScriptPythonJavaAIMLLangGraphSnowflakeDatabricksReactAngularHTML5CSS3AzureGCPDockerRESTfulGitCI/CDCollaboration

About this role

Cleveland Clinic is hiring a Full Stack Software Engineer - AI to design, develop, deploy, and maintain scalable AI applications. The role works across frontend, backend, databases, APIs, and cloud deployment in collaboration with AI scientists and domain experts.

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

Requirements:

Bachelor's degree in Computer Science or related engineering field
Five+ years of experience in software and application development
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
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
Master's degree in Computer Science or related field