Software Engineering Intern

Public source summary from intern-list.com / Jobright.

Copart, Inc. is a technology leader and the premier online vehicle auction platform globally. They are seeking passionate Software Engineering Interns to work on the development of AI-driven applications, collaborating with Product Managers and AI Architects to integrate advanced AI capabilities into scalable full-stack applications.

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

Qualifications: Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field 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) 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 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) 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 Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI Familiarity with Python (the primary language for data science/AI scripting) in addition to Java Experience writing SQL and stored procedures Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases 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