Ai Engineer Internship

Rebel AthleticCarrollton, TX
20h$25

About The Position

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.

Requirements

  • 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
  • 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

Nice To Haves

  • Experience with LangChain, CrewAI, n8n, or similar frameworks
  • Knowledge of RAG, memory systems, and multi-agent architectures
  • Experience with system integrations or automation pipelines

Responsibilities

  • 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 LangChain, CrewAI, n8n, or similar
  • Integrate AI into platforms like NetSuite, Salesforce, and internal tools
  • Rapidly prototype, test, and iterate on solutions
  • Partner with business teams to identify high-impact automation opportunities

Benefits

  • 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
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