Time since we first saw it
Day 49
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Data & AI Intern
Dallas, TX - Headquarters
Live, first seen by us 49 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Currently pursuing a Bachelor s or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field
- Work authorization
- Must already have the right to work
Right to Work
- Employer’s visa record
- 154 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDesign and implement LLM, generative AI, and ML features in core applications
Build conversational agents, RAG pipelines, and prompt engineering workflows
Work with model APIs and open-source models, comparing quality, latency, and cost
Develop real-time services that surface AI capabilities to end users
Peer-review code and document solutions in an agile environment
From the employer’s posting
Design and implement features powered by Large Language Models (LLMs), Generative AI, and machine learning models, integrating them into our core applications.
Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
Work with model APIs and open-source models, and help evaluate quality, latency, and cost trade-offs across approaches.
Develop efficient, secure, real-time services that surface AI capabilities to end users
peer-review code and document solutions in an agile environment
What you’ll bring
All qualificationsCore experience
- Experience with AI orchestration frameworks (LangChain, LlamaIndex, or Spring AI).
Qualification wording
Experience with AI orchestration frameworks (LangChain, LlamaIndex, or Spring AI).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 202649 days ago
- Recorded sightings
- 138
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Copart is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- JavaScript
- Python
- SQL
- TypeScript
- AWS
- Azure
- Docker
- GCP
- MySQL
- NoSQL
- PostgreSQL
- Hugging Face
- pandas
- PyTorch
- React
- scikit-learn
- TensorFlow
Where the posting names them
- ML/data science libraries (PyTorch, TensorFlow, scikit-learn, pandas). - Full-stack exposure: JavaScript/TypeScript with React or Next.js for AI chat interfaces and dashboards; real-time streaming (WebSockets, Server-Sent Events); or Java/Spring Boot backend services. - DevOps: Git, CI/CD (GitHub Actions, Jenkins), Docker, and a cloud platform (AWS, Azure, or GCP).
- AI & LLM Foundations: Hands-on experience or academic projects with LLM APIs (Anthropic, OpenAI, Hugging Face, Ollama); familiarity with RAG architectures and prompt engineering; understanding of vector databases (e.g., pgvector, Pinecone, Chroma, Milvus). - Programming: Strong Python skills for data/AI work; solid foundation in data structures and algorithms. - Data: Comfortable with SQL and working with relational (PostgreSQL, MySQL) and/or NoSQL databases.
- Programming: Strong Python skills for data/AI work; solid foundation in data structures and algorithms. - Data: Comfortable with SQL and working with relational (PostgreSQL, MySQL) and/or NoSQL databases. - Mindset: Excellent problem-solving with a strong mathematical/logical foundation; self-motivated, curious, and eager to master emerging AI tools quickly; capable technical writer able to document AI architectures and data flows.
- Full-stack exposure: JavaScript/TypeScript with React or Next.js for AI chat interfaces and dashboards; real-time streaming (WebSockets, Server-Sent Events); or Java/Spring Boot backend services. - DevOps: Git, CI/CD (GitHub Actions, Jenkins), Docker, and a cloud platform (AWS, Azure, or GCP). - Basic Unix/Linux familiarity.
- Education: Currently pursuing a Bachelor's or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. - AI & LLM Foundations: Hands-on experience or academic projects with LLM APIs (Anthropic, OpenAI, Hugging Face, Ollama); familiarity with RAG architectures and prompt engineering; understanding of vector databases (e.g., pgvector, Pinecone, Chroma, Milvus). - Programming: Strong Python skills for data/AI work; solid foundation in data structures and algorithms.
- Experience with AI orchestration frameworks (LangChain, LlamaIndex, or Spring AI). - ML/data science libraries (PyTorch, TensorFlow, scikit-learn, pandas). - Full-stack exposure: JavaScript/TypeScript with React or Next.js for AI chat interfaces and dashboards; real-time streaming (WebSockets, Server-Sent Events); or Java/Spring Boot backend services.
Your next step
Complete your application on copart.wd12.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Copart posted this job before?
Yes. We’ve followed one other Data & AI Intern job there since May 2026. It came down after 22 days.
About Copart
- People
- About 1,300 in 2026, down 24% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as CPRT.
- H-1B visas
- 37 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
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.
AI/ML Engineering Intern — Copart
Copart is building the next generation of AI-driven applications to power our global operations and expansion. We're looking for a passionate Software Engineering Intern with a strong interest in Artificial Intelligence and Machine Learning to help design, build, and ship these systems. You'll work closely with Product Managers, AI Architects, and Tech Leads to turn requirements into real, scalable AI features — from LLM-powered agents to production ML pipelines.
Core Duties & Responsibilities
- AI/ML Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and machine learning models, integrating them into our core applications.
- Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
- Model Integration & Evaluation: Work with model APIs and open-source models, and help evaluate quality, latency, and cost trade-offs across approaches.
- Full-Stack Integration: Develop efficient, secure, real-time services that surface AI capabilities to end users; peer-review code and document solutions in an agile environment.
- Collaboration: Communicate proactively with teammates across AI research, infrastructure, security, and QA to continuously improve processes and engineering quality.
Required Skills
- Education: Currently pursuing a Bachelor's or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- AI & LLM Foundations: Hands-on experience or academic projects with LLM APIs (Anthropic, OpenAI, Hugging Face, Ollama); familiarity with RAG architectures and prompt engineering; understanding of vector databases (e.g., pgvector, Pinecone, Chroma, Milvus).
- Programming: Strong Python skills for data/AI work; solid foundation in data structures and algorithms.
- Data: Comfortable with SQL and working with relational (PostgreSQL, MySQL) and/or NoSQL databases.
- Mindset: Excellent problem-solving with a strong mathematical/logical foundation; self-motivated, curious, and eager to master emerging AI tools quickly; capable technical writer able to document AI architectures and data flows.
Nice to Have
- Experience with AI orchestration frameworks (LangChain, LlamaIndex, or Spring AI).
- ML/data science libraries (PyTorch, TensorFlow, scikit-learn, pandas).
- Full-stack exposure: JavaScript/TypeScript with React or Next.js for AI chat interfaces and dashboards; real-time streaming (WebSockets, Server-Sent Events); or Java/Spring Boot backend services.
- DevOps: Git, CI/CD (GitHub Actions, Jenkins), Docker, and a cloud platform (AWS, Azure, or GCP).
- Basic Unix/Linux familiarity.
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:
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, TX - Headquarters
Working pattern and location restrictions need checking in the full posting.
- Work authorization


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