AI Engineer Intern — Prototyping Healthcare AI

Direct Supply

Milwaukee (WI)

On-site

USD 20,000 - 50,000

Full time

14 days+

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Job summary

Direct Supply is seeking an AI Engineer Intern to join a fast-moving AI-first team in Milwaukee. You’ll design and build AI-powered prototypes and MVPs, collaborating with product teams to identify opportunities in existing workflows.

You’ll develop full‑stack applications that integrate AI at scale, using React, Node.js, and Python, and deploy on AWS with focus on performance and cost. You’ll gain hands-on experience with foundation models and data pipelines, delivering end‑to‑end features from

Qualifications

  • Pursuing a Bachelor’s degree in CS/DS or related field or equivalent self-directed learning.
  • Demonstrated full-stack development experience (React, Node.js, Python).
  • Hands-on AI/ML project experience using foundation models.
  • Availability to work ~20 hours/week during school year and full-time during breaks.

Responsibilities

  • Design and build AI-powered prototypes using emerging technology frameworks.
  • Create MVPs and proofs-of-concept with potential for core product features.
  • Develop full-stack applications that integrate AI at scale.
  • Deploy applications on AWS with cost and performance considerations.
  • Present technical demos and product concepts to stakeholders.

Skills

Full-stack development
React
Node.js
Python
AI/ML foundations
Communication

Education

Bachelor’s degree in Computer Science or Data Science or related field
Equivalent self-directed learning (courses, certifications, projects)

Tools

APIs

Job description

Direct Supply is seeking an AI Engineer Intern to join a fast-moving AI-first team in Milwaukee. You’ll design and build AI-powered prototypes and MVPs, collaborating with product teams to identify opportunities in existing workflows.

You’ll develop full‑stack applications that integrate AI at scale, using React, Node.js, and Python, and deploy on AWS with focus on performance and cost. You’ll gain hands-on experience with foundation models and data pipelines, delivering end‑to‑end features from

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