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AI Engineer Intern

Direct Supply · Milwaukee, WI · Part time

Posted Sep 16, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about an AI-powered project you have built. What did it do and what was your part?

What they are checking: Hands-on experience building with AI, which the internship centers on.

Tell me about a time you had to learn a new framework fast to finish something.

What they are checking: Speed of learning, which matters in an emerging-technology internship.

What interests you about using AI in healthcare for seniors, and what concerns you?

What they are checking: Thoughtfulness about impact and risk, not just excitement about the technology.

What would you do

How would you go about finding an AI opportunity in someone else's existing workflow?

What they are checking: Ability to observe and ask questions before building, as the role expects with product teams.

You build a proof of concept quickly, but it breaks on real data. What do you do next?

What they are checking: Persistence and debugging approach when rapid iteration meets messy reality.

About the work

Walk me through how you would build an MVP that connects a model to a simple user interface.

What they are checking: Full-stack thinking from database or model through API to UI, which the role lists.

Which of React, Node.js or Python are you most comfortable with, and what have you built with it?

What they are checking: Honest depth in the frameworks the posting names.

How do you know whether your AI prototype is actually giving good results and not just looking impressive in a demo?

What they are checking: Early instinct for evaluation, which separates useful prototypes from flashy ones.

What does production-quality code mean to you, compared with prototype code?

What they are checking: Awareness of quality standards, since the posting asks for production-quality code and scalable APIs.

Have you deployed anything to the cloud? Walk me through the steps you took.

What they are checking: Practical exposure to deployment, which the role includes.

Practice this interview out loud.

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The full job description

As published by Direct Supply.

In the AI Engineer Intern position, you’ll work at the intersection of full-stack development and AI, building intelligent applications that transform healthcare delivery. You’ll join an AI-first technology team prototyping, experimenting with, and delivering AI-powered features. You’ll learn to balance rapid innovation with meaningful customer outcomes, and leverage your entrepreneurial spirit to build, strategize, and solve problems. Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them. What You’ll Do and Impact: • 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. Experience: • Currently pursuing a Bachelor’s degree in Computer Science, Data Science, a related field, or equivilent self-directed learning (i.e. online courses, certifications, bootcamps, personal projects). • Demonstrated full-stack development experience (React, Node.js, Python). • Hands-on AI/ML project experience using foundation models. • 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. Sk ills Needed: • Learn & Adapt - Continuously grow and adapt as technology, customer needs, roles, and work systems evolve. Stay curious, learn beyond your core specialty, experiment with n ew approaches, use AI to accelerate learning, and improve through feedback and setbacks. • Systems Thinking & Problem Solving - Identify the right problems to solve by understanding the broader system – customers, stakeholders, processes, data, technology, and AI. Connect root causes, dependencies, tradeoffs, and upstream and downstream effects to develop practical, scalable solutions that improve the whole. • Thinks like a founder while identifying opportunities, quickly validating assumptions, and focusing on customer work. • Thoughtfully applies AI to customer challenges, recognizing when advanced solutions add valu e . • Explores foundation model APIs, vector databases, and agentic frameworks to prototype and test emerging AI solutions . • E ffectively communicates complex AI concepts clearly, highlighting their impact on end users and business outcomes. Job to be performed in the location listed. Generous benefit package available. © 2013 to 2026 Direct Supply, Inc. All rights reserved.

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