AI Intern

Current Lighting Employee Co LLCGreenville, SC

About The Position

Current™ (formerly GE Current, a Daintree Company) has unveiled a new brand identity following the historic acquisition of Hubbell’s Commercial & Industrial (C&I) Lighting business. The enterprise brand unites the companies under a single identity with one purpose: To deliver the innovation customers require, with solutions that create inspiring, efficient and safe environments.  Current products dramatically improve lighting quality, reduce energy demand, and have become synonymous with reimagined physical spaces. The history of the company demonstrates decades of trusted quality and reliability. Current's portfolio includes 35 industry-leading product brands each offering a unique value proposition.  Primary office locations are Cleveland, OH and Greenville, SC, with centers of expertise locations in Austin, TX, and Quebec, Canada. Manufacturing operations reside in Hendersonville, NC, Plympton, MA, Christiansburg, VA, Acuna, MX and Tijuana, MX. Job Description We are looking for a hands-on AI Intern who can learn fast, build quickly, and contribute within the first week after onboarding and training on our internal AI modeling tools. This role is best suited for a college student who has already built AI agents, automations, or assistant workflows for personal projects, coursework, or side projects and can clearly explain what they built, how it worked, and what they learned.

Requirements

  • Current college student.
  • Must have hands-on experience building AI agents, assistants, or automations for school, personal use, or hackathons, and be able to show or discuss examples.
  • Strong problem-solving skills, clear communication, and a builder mindset.

Responsibilities

  • Build, test, refine, and document practical AI agents and workflows for internal business use cases.
  • Use Copilot, Perplexity, and related tools to accelerate research, prototyping, and solution delivery.
  • Translate business or user needs into prompts, agent logic, workflows, and lightweight automations.
  • Troubleshoot outputs, improve reliability, and identify opportunities to make agents more useful and usable.
  • Share demos, examples, and short readouts with the team on what was built and what value it creates.
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