AI Engineer Intern

Copart
Dallas, Texas, United StatesPosted Aug 31, 2026
Data Science / ML

About the role

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology. We are looking for a passionate AI Engineering Intern with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.

Core Duties & Responsibilities

AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. Back-end Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment. AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence. Concurrency & Scalability: Write highly concurrent, multi-threaded Java backend services capable of handling real-time AI inference and data streaming.

Required Skills

Education: Bachelor’s degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.

AI & LLM Foundational Knowledge

Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face). Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engine