Software Engineering Intern with a focus on healthcare SaaS applications. Collaborating on secure, scalable software solutions while gaining exposure to AI and cloud development.
Responsibilities
Assist with implementing and maintaining software features under guidance from senior engineers
Write clean, maintainable code and contribute to code reviews as part of the learning process
Support development tasks that may include cloud-based components and SaaS application patterns
Follow secure coding practices and team standards for handling sensitive data
Build awareness of healthcare privacy concepts (e.g., HIPAA) and interoperability standards (e.g., HL7, FHIR) as relevant to assigned work
Develop foundational understanding of AI/ML concepts and how AI-enhanced features may be integrated into software products
Participate in agile ceremonies (standups, sprint planning, retros) as a learning experience
Communicate progress, ask questions early, and collaborate effectively with peers and mentors
Contribute to documentation (technical notes, implementation details, or runbooks) as assigned
Requirements
Currently pursuing a Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field, graduating December 2026 or later.
Academic, internship, or project experience in software development (coursework, capstone, personal projects, or prior internship).
Interest in healthcare technology and/or AI-related technologies is a plus
Programming Languages: C#, HTML, CSS, JavaScript (Angular and TypeScript a plus)
Cloud Platform Exposure: Familiarity with AWS or Azure (coursework/labs acceptable); certification is a plus.
Healthcare Standards: Basic awareness of HIPAA, HL7, FHIR (not required; willingness to learn is sufficient).
Version Control & Collaboration Tools: Git/GitHub; familiarity with Jira or similar tools
Agile Development: Exposure to Agile/Scrum concepts or working on a team project using agile practices
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