AI Engineer Intern

About the Role

• Work at the intersection of full-stack development and AI.
• Build intelligent applications that transform healthcare delivery.
• Join an AI-first technology team prototyping, experimenting with, and delivering AI-powered features.
• Learn to balance rapid innovation with meaningful customer outcomes.
• Leverage entrepreneurial spirit to build, strategize, and solve problems.

Key Responsibilities

• Design and build AI-powered prototypes built on emerging technology frameworks.
• Create MVPs and proofs-of-concept with potential for core product feature implementation.
• Partner with product teams to identify AI opportunities in existing workflows.
• Develop full-stack applications that integrate emerging technology at scale.
• Build with modern frameworks (React, Node.js, Python, etc.) while prioritizing rapid iteration.
• Write production-quality code and design scalable APIs connecting models to user interfaces.
• Develop data pipelines and tools that enhance analytical products and infrastructure.
• Deliver end-to-end features independently from database to UI.
• Deploy applications using cloud services (AWS) with cost and performance optimization in mind.
• Research emerging AI technologies and contribute to internal best practices.
• Present technical demonstrations and product concepts to stakeholders.

Requirements & Tech Stack

• Demonstrated full-stack development experience (React, Node.js, Python).
• Hands-on AI/ML project experience using foundation models.
• Explore foundation model APIs, vector databases, and agentic frameworks to prototype and test emerging AI solutions.
• Effectively communicates complex AI concepts clearly.

Qualifications

• Currently pursuing a Bachelor’s degree in Computer Science, Data Science, a related field, or equivalent self-directed learning (e.g., online courses, certifications, bootcamps, personal projects).
• Availability to work approximately 20 hours per week during the school year and full-time during breaks.

Additional Items Of Interest

• Portfolio of end-to-end projects with AI features.
• Side projects demonstrating product thinking and user-centered design.
• Previous start-up experience or entrepreneurial initiatives.

Skills Needed

• Learn & Adapt: Continuously grow and adapt. Stay curious, learn beyond core specialty, experiment with new approaches, use AI to accelerate learning, and improve through feedback.
• Systems Thinking & Problem Solving: Identify the right problems to solve by understanding the broader system. Connect root causes, dependencies, tradeoffs, and effects to develop practical, scalable solutions.
• Thinks like a founder while identifying opportunities, quickly validating assumptions, and focusing on customer work.
• Thoughtfully applies AI to customer challenges.