Data & AI Intern

Copart • Dallas, TX

5d

About The Position

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.

Requirements

• Currently pursuing a Bachelor's or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• 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).
• Strong Python skills for data/AI work; solid foundation in data structures and algorithms.
• Comfortable with SQL and working with relational (PostgreSQL, MySQL) and/or NoSQL databases.
• 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 Haves

• 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.

Responsibilities

• 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.
• Communicate proactively with teammates across AI research, infrastructure, security, and QA to continuously improve processes and engineering quality.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern