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Ai Engineer Internship

Job in Carrollton, Dallas County, Texas, 75011, USA
Listing for: Rebel Athletic
Apprenticeship/Internship position
Listed on 2026-04-06
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 40000 - 60000 USD Yearly USD 40000.00 60000.00 YEAR
Job Description & How to Apply Below

At Rebel Athletic, we don’t just make apparel — we create confidence, empower performance, and redefine what it means to wear your passion. Since 2012, we’ve been shaking up the industry as the fastest-growing cheer and performance wear brand in the world. Recognized by Global Brand Consultancy Eat Big Fish as a Challenger Brand to Watch, Rebel has become synonymous with bold design, innovation, and custom craftsmanship.

From couture-inspired uniforms to lifestyle athleisure, we merge high fashion with high function — built for those who dare to stand out. Our founder, Karen Aldridge, has transformed a daring idea into a global movement that celebrates creativity, empowerment, and individuality.

At Rebel, we’re not just creating garments — we’re building a community of dreamers, doers, and disruptors who lead with purpose and sparkle louder than ever.

AI Engineer Intern (Agentic AI Focus)

Build Real AI. Not Slide Decks.

Rebel Athletic is looking for an AI Engineer Intern who wants to actually build, not just learn.

This role is focused on Agentic AI, meaning you will design and deploy AI systems that take action, automate workflows, and drive real business outcomes across sales, design, operations, and manufacturing.

You will not be working on theoretical projects. You will be building AI agents that plug directly into our systems and impact how the company runs.

What You Will Do
  • Work directly with the Technology team to design and deploy AI solutions into production environments
  • Build AI agents that automate real business processes
  • Turn complex workflows into structured, multi-step AI systems
  • Work hands‑on with Python, LLMs, APIs, and modern AI frameworks
  • Use tools such as Lang Chain, CrewAI, n8n, or similar
  • Integrate AI into platforms like Net Suite, Salesforce, and internal tools
  • Rapidly prototype, test, and iterate on solutions
  • Partner with business teams to identify high‑impact automation opportunities
What We Are Looking For

You are a builder. That matters more than anything else.

  • Experience building AI agents through projects, internships, or research
  • Strong Python skills and familiarity with AI or ML tools
  • Experience working with LLMs and APIs
  • Ability to take a business problem and turn it into a working solution
  • Strong problem‑solving skills and systems thinking mindset
  • Demonstrated ownership and ability to move quickly and independently
Preferred
  • Experience with Lang Chain, CrewAI, n8n, or similar frameworks
  • Knowledge of RAG, memory systems, and multi‑agent architectures
  • Experience with system integrations or automation pipelines
Who You Are
  • Class of 2027 undergraduate or graduate student in Computer Science, Engineering, Data Science, Business Analytics, AI, or a related field
  • Curious, driven, and execution‑focused
  • Interested in building AI that is actually used in a business
  • Looking for an opportunity that can convert into a full‑time role
What You Will Get
  • Work on production AI systems from day one
  • Direct exposure to enterprise AI transformation
  • High ownership and real responsibility
  • Mentorship from operators building real systems
  • Clear path to a full‑time AI Engineer role
Equal Opportunity Statement

Rebel Athletic LLC is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, military status, or any other protected characteristic. We also strictly prohibit retaliation against individuals who raise concerns or participate in investigations.

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Position Requirements
Less than 1 Year work experience
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