~/AINative.careerscat listings/supplyhouse-com-ai-enablement-intern.md08:35 · tmux 0 · 128×48
ACTIVEPublic listing

AI Enablement Intern

company:SupplyHouse.comlocation:Remote, United Statesremote:Remotecomp:COMP NOT DISCLOSED
# editor_note · curation

A 10-week intern role focused on low-technical AI application and testing, fitting the 'first-semester CS' depth requirement.

source_signals.ymlwhat justified inclusion
signal_1:focus on identifying
signal_2:testing
signal_3:and prototyping practical ways to apply AI to real business problems
signal_4:Research and evaluate AI tools and approaches (LLMs
signal_5:copilots
signal_6:workflow automation
tagsarchetype + ai-native surface
#AI enablement#prototyping#prompt design#workflow automation#RAG#lightweight agents
descriptionsource excerpt

At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers.

We are looking for an AI Enablement Intern to join our team for a 10-week Co-Op program. This intern will work with one of several different departments across the organization and focus on identifying, testing, and prototyping practical ways to apply AI to real business problems.

Role Type: Co-Op Intern Location: Remote Length of Program: June 15th – August 21st (10 weeks) Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. ET Pay: $27.60 per hour

Responsibilities:

  • Learn how teams across the business work (Customer Service, Operations, Merchandising, Marketing, Product, etc.) and identify high-impact opportunities where AI can help
  • Partner with stakeholders to define problems clearly, map workflows, and estimate potential value and effort
  • Research and evaluate AI tools and approaches (LLMs, copilots, workflow automation, search/RAG, lightweight agents) for business use cases
  • Build and test small prototypes or proofs of concept (e.g.: prompt workflows, chat-based assistants, automation scripts, internal knowledge helpers)
  • Create clear documentation and playbooks so others can reuse what you build (prompt guides, best practices, example workflows)
  • Help run simple enablement activities like demos, office hours, training sessions, and collecting feedback
  • Track results and learnings, including what worked, what did not, and recommendations for next steps
  • Follow responsible AI practices, including data privacy, security, and quality standards

Requirements:

  • Currently pursuing a Bachelor's degree as a rising Junior or Senior (graduating in 2027 or 2028), pursuing a Master's degree, or an upcoming graduate (May 2026)
  • Interest in AI and curiosity about how it can be applied to improve real workflows
  • Comfortable learning new tools quickly and experimenting in a structured way
  • Strong communication skills, including the ability to explain technical concepts in plain language
  • Organized and self-directed, with attention to detail and follow-through
  • Analytical mindset, able to break down problems and propose practical solutions

Preferred Qualifications:

  • Prior hands-on experience leveraging AI through an internship, co-op, research project, academic lab, or similar environment
  • Experience with Python, SQL, JavaScript, or automation tools (Zapier, Make, Apps Script, etc.)
  • Familiarity with LLMs and prompt design, including evaluating output quality
  • Experience building lightweight prototypes (spreadsheets, dashboards, scripts, basic apps)
  • Interest in product thinking, process improvement, and change management
apply at boards.greenhouse.io