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Copart

Software Engineering Intern

  • Seen live on Copart's site yesterday
  • Intern / co-op
Pay
Not stated
Location
Dallas, TX - Headquarters
Open for
17+ days
First seen
Oct 18, 2026
Apply on Copart's site (opens in a new tab)

Posting record

Duplicate listing

Open 17+ days

The posting's record, oldest first
  1. Copart's site dates the posting
  2. Ghostless first sees this role listed
  3. This listing goes up
  4. Last checked: still up
How we know

Duplicate listing

Identical copies of this role are live at the same time.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Copart, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

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

#LI-KK1

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

  • E-verify Participation
  • Right to Work

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