Software Engineering Intern at Copart, Inc — Dallas, TX

We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.

Core Duties & 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.

Required Skills:

• Education: Bachelor’s degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
• AI & LLM Foundational Knowledge:
• 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).

Backend & Concurrency (Java/Spring):

• 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.

Frontend (React/Modern JS):

• 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).

Soft Skills & Mindset:

• 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.

Additional Skills (Nice to Haves):

• AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
• Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
• Data & Databases:
• Experience writing SQL and stored procedures.
• Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.

DevOps & Deployment:

• 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 e

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