Software Engineering Intern

Summary

Copart, Inc. is a technology leader and the premier online vehicle auction platform globally. They are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of AI-driven applications for their global expansion.

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

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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