GEN AI Intern

SRS Distribution, a wholly owned subsidiary of The Home Depot, currently operates under a family of distinct local brands encompassing more than 760 locations across 47 states. For more information, visit www.srsdistribution.com.  

What you’ll Learn:  

Interns will have the opportunity to learn as well as contribute to the department through engaging and interesting work assignments. Learn how to integrate AI models into full-stack applications, ensuring seamless performance and user experience. Internships are an entrance point into a post-graduate, full time opportunity within SRS Distribution. 

Internship Overview: 

• 10 -12-week program beginning May 2025 

• Full-time 40hrs/week; M-F schedule 

• $25/hr 

Where you’ll work:  

• This is an Onsite position. Our corporate office is located 7440 S. Hwy 121 McKinney, TX 75070  

What you’ll Do:  

​​This role offers an exciting opportunity to work on cutting-edge AI models, full-stack development, and real-world AI applications. The intern will gain hands-on experience in building and deploying AI-powered applications while collaborating with cross-functional teams. The Intern will assist in Prompt Development: Support the creation and refinement of AI-generated text prompts for various applications, including chatbots, content generation, and customer support. You will help monitor performance and assist in analyzing results to identify areas for improvement. Required: Currently pursuing an undergraduate or graduate degree with a concentration in Computer Science, Software Engineering​ 

What we look for:  

• ​​Back-end development with Python, Node.js ​  

• ​​Front-end development technologies​ (Angular)  

• Understanding of databases (SQL)  

• ​​Familiarity with natural language processing​  

• ​​Familiarity with any cloud stack (AWS, Azure)​  

Intern Program Requirements: 

• Ability to provide unofficial transcript  

• Actively in University, obtaining a Bachelors or master’s degree in business, Computer Science, Statistics, Engineering or a related field by Spring 2026. GPA of 3.2 or above. 

• Candidates who have a valid driver’s license, satisfactory driving record, reliable transportation, are authorized to work for any employer without sponsorship in the US and will pass criminal and driving background check with a pre-employment drug test will be considered. 

• Experience with data analysis tools such as Excel, SQL, Python, R, Power BI, and/or Tableau 

• Proven team involvement and leadership skills in school and at work 

• Personable people who have built strong and lasting relationships with others. 

• Solid computer, strategy, communication, organization, and time management skills