AI Automation Intern - Summer 2026

Royal ElectricDallas, TX
1d$22 - $27

About The Position

At Royal Electric Company we provide expert electrical design, construction, and service with builders, contractors and facility owners who value relationships, trust, expertise, and a commitment to each other towards achieving exceptional results. We are able to sustain this through our linking values of expertise, collaboration, integrity, passion, and loyalty . These values support our core purpose; to build great relationships, one project at a time! We are currently accepting applications for Interns for our Dallas Office location. This opportunity will be starting Summer 2026 , working with our Digital Transformation team. We are seeking a highly motivated AI Intern to support our AI and data automation initiatives, with a focus on building, testing, and improving generative AI solutions. This internship offers hands-on experience with real datasets, production-minded workflows, and cross-functional collaboration across engineering, products, and business stakeholders. You will contribute to model development, experimentation, evaluation, and documentation while learning modern AI tooling and best practices.

Requirements

  • Python
  • SQL
  • Cloud services (optional)
  • Microsoft Data Platform
  • Cyber security tools
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Familiarity with Python and common AI libraries.
  • Basic understanding of machine learning concepts (training/validation, overfitting, and feature engineering).
  • Comfortable working with data and debugging code.
  • Must wear proper PPE while on jobsites.
  • Must comply with all safety standards and procedures.
  • Sit, stand, and walk during the duration of the workday.
  • Will lift, carry, push, pull, kneel, crouch, and reach.
  • Must be able to lift up to 50 pounds at times.

Responsibilities

  • Design and prototype AI-enabled solutions (e.g., workflow automation, intelligent document processing, chatbots, decision support tools)
  • Assist in building proofs of concept using tools such as: Large Language Models (LLMs) Low-code / no-code automation platforms Python, SQL, or similar tools (as appropriate)
  • Assist in building and improving machine learning models (classification, regression, forecasting, clustering, NLP).
  • Support development of Generative AI / LLM solutions, including: Prompt engineering and prompt evaluation RAG (Retrieval-Augmented Generation) pipelines Document ingestion, chunking, embeddings, vector search Model output evaluation and guardrails
  • Build scripts and notebooks for experimentation, testing, and reporting results.
  • Collaborate with engineers to package models into services/APIs where applicable.
  • Participate in code reviews and contribute to team standards for reproducibility and quality.
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