Design and implement AI/ML features using LLMs and generative AI integrated into core applications
Build conversational agents, RAG pipelines, and prompt engineering workflows
Evaluate model APIs and open-source models for quality, latency, and cost trade-offs
Develop secure, real-time services delivering AI capabilities to end users
What they're looking for
Currently pursuing Bachelor's or higher in Computer Science, AI, Machine Learning, or related field
Hands-on experience with LLM APIs and familiarity with RAG architectures and vector databases
Strong Python skills with solid data structures and algorithms foundation
SQL and relational/NoSQL database experience; excellent problem-solving abilities
AI/ML Engineering Intern — Copart
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.
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).
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:
E-verify Participation
Right to Work
From Copart's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
