INTERNSHIP DETAILS

Software Engineering Intern

CompanyCopart
LocationDallas
Work ModeOn Site
PostedMay 27, 2026
Internship Information
Core Responsibilities
Design and implement AI-driven features using LLMs and Generative AI into core web applications. Develop scalable full-stack applications and optimize conversational agents and RAG pipelines.
Internship Type
full time
Company Size
5298
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Copart, a global online auto auction company headquartered in Dallas, Texas is a top-performing S&P 500 company, as noted by The Wall Street Journal. Copart is a global technology leader in the online vehicle auction industry that connects its buyers and sellers via its patented cutting-edge VB3 technology. With a passion for excellence, Copart has a great company culture and strong dedication to our employees. Copart is a veteran-founded company that honors the service of active & reserve duty employees. Copart’s veteran commitments include Leadership Development Programs, tuition reimbursement, and up to 10 days of paid leave for non-activation orders like training. Founded in 1982, Copart connects more than 750,000 buyers and sellers from over 200 locations around the world. With our innovative technology, we remarket salvage and clean title vehicles to dealers, dismantlers, rebuilders, exporters and end users through a multi-channel online internet platform. Copart sells vehicles on behalf of insurance companies, banks, finance companies, fleet owners, car dealerships, cars sourced from the general public and others. Because we are a 100% online auto auction company, Copart Members can browse our incredible inventory, set their own price and get great deals on vehicles through their home computer, smartphone or other mobile device. Copart’s vehicles can range in condition from damaged vehicles that can be used as rebuild projects to like-new, used vehicles. Copart is the parent company to a portfolio of auto service companies, including CashForCars.com, CrashedToys, and National Powersport Auctions (NPA). We currently operate in the United States (Copart.com), Canada (Copart.ca), the United Kingdom (Copart.co.uk), the Republic of Ireland (Copart.ie), Brazil (Copart.com.br), Germany (Copart.de), the United Arab Emirates, Oman and Bahrain (Copartmea.com), Spain (Copart.es), and Finland (copart.fi).
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 passionate Software Engineering Interns 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.
Full-Stack 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 engineering.
Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).
Backend & Concurrency (Java/Spring):
Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs), and MVC.
Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
Experience writing Unit tests using JUnit and mocking frameworks.
Frontend (React/Modern JS):
Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).
Soft Skills & Mindset:
Excellent problem-solving skills and a strong mathematical/logical foundation.
Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
Skilled in technical writing, including documenting AI system architectures and data flows.
Additional Skills (Nice to Haves):
AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
Data & Databases:
Experience writing SQL and stored procedures.
Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.
DevOps & Deployment:
Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
Basic knowledge of Unix/Linux environments


 

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At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.

E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

Key Skills
Large Language ModelsGenerative AIJavaSpring BootReactJSTypeScriptRAGPrompt EngineeringVector DatabasesSpring WebFluxJUnitPythonSQLGitCI/CDDocker
Categories
SoftwareTechnologyEngineeringData & AnalyticsScience & Research