AI Software Engineering Intern

Job Summary:

The AI / Software Engineering Intern supports the design development and enhancement of scalable healthcare SaaS applications under the guidance of experienced engineers. This role provides hands-on exposure to modern full stack development cloud-based SaaS architectures and AI enabled features while building foundational skills in secure compliant healthcare software development. The intern will collaborate with cross functional engineering product QA and clinical stakeholders in an agile environment gaining practical experience with real world healthcare workflows AI tools and industry standards. This role is designed as a learning focused opportunity with mentorship structured guidance and meaningful project contributions.

Key Responsibilities:

Software Development & Engineering Fundamentals

• Assist with coding testing and debugging software features using modern web and backend technologies (e.g. C# JavaScript/TypeScript SQL) under the guidance of senior engineers.
• Learn and apply foundational software engineering concepts including object-oriented programming code readability and basic design patterns.
• Contribute to small wellscoped features or enhancements within existing codebases and frameworks.

Cloud & SaaS Exposure

• Gain exposure to cloud platforms (e.g. Azure or AWS) and healthcare SaaS architecture concepts.
• Participate in development workflows that include version control code reviews and CI/CD pipelines under supervision.

AI / ML Awareness & Enablement

• Develop familiarity with AI/ML concepts and how AI driven capabilities are integrated into healthcare software products.
• Support AI enhanced features such as analytics automation or decisionsupport tools including basic prompt engineering and evaluation under guidance.

Healthcare Compliance & Interoperability

• Build awareness of healthcare regulations and standards including HIPAA privacy principles and secure coding practices.
• Learn foundational healthcare interoperability concepts such as HL7 and FHIR and how SaaS platforms integrate with EHR systems.

Agile Collaboration & Professional Development

• Participate in agile ceremonies as part of an engineering team.
• Communicate effectively with engineers QA and product partners and incorporate feedback through code reviews and mentoring.
• Demonstrate curiosity accountability and a continuous learning mindset throughout the internship.

Required Qualifications:

• Currently pursuing a bachelors or masters degree in computer science Software Engineering or a related technical field (Junior and Senior year students preferred).
• Functional knowledge of at least one programming language (e.g. C# Python).
• Strong understanding of software development concepts such as data structures APIs and version control.
• Coursework or project experience related to AI machine learning or data analytics.
• Strong interest in healthcare technology SaaS platforms and applied AI.
• Ability to learn quickly follow established processes and work collaboratively in a team environment.
• Occasional travel may be required.

Other Preferred Knowledge Skills:

• Exposure to web or full stack development frameworks like Angular.
• Familiarity with cloud platforms containers or CI/CD concepts.
• Awareness of healthcare data privacy concepts (HIPAA) or interoperability standards (HL7 FHIR).

Location: This internship will be based in one of Provations preferred cities (Minneapolis MN; Boston MA; Nashville TN; Tampa/St. Petersburg FL; Phoenix AZ; and Seattle WA) for Summer 2026. Candidates must be located in one of these cities.