Full Stack Software Engineer – AI

As an AI Software Engineer, you are responsible for designing, developing, deploying, and maintaining robust and scalable AI applications. In this role, you will work across the stack, from integration to backend systems and databases, to the front-end development, and deployment of applications on cloud to deliver robust AI applications. This role involves working closely with AI scientists and domain experts.

A caregiver who excels in this role will:

• 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

Minimum qualifications for the ideal future caregiver include:

• 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

Preferred qualifications for the ideal future caregiver include:

• Master’s degree in Computer Science or related field

Physical Requirements:

• Ability to perform work in a stationary position for extended periods.
• Ability to travel throughout the hospital system.
• Ability to operate a computer and other office equipment.
• Ability to communicate and exchange accurate information

Personal Protective Equipment:

• Follows standard precautions using personal protective equipment as required.