Software Engineering Intern

About the Role

We're seeking a curious, driven Software Engineering Intern to join our Title Transfer Services team. This is a greenfield opportunity to help build modern, scalable services from the ground up using cutting-edge technologies and design principles. You'll contribute to a strategic re-architecture initiative, moving from legacy systems to a modern modular monolith architecture. You'll help build and maintain our Java and React full-stack applications, and help explore how agentic AI can automate and optimize operational processes. We're looking for someone who is AI-ready: you already build with AI coding agents as a natural part of your workflow, you've built agentic AI projects of your own, and you pair that with solid software engineering fundamentals.

What You'll Do

Architecture & Design

• Help design and implement modular, domain-aligned, AI-powered applications that model complex vehicle title transfer and ownership processes.
• Learn how architectural decisions balance technical excellence with business needs.
• Help design RESTful APIs and integration patterns for inter-module communication.
• Share ideas in technical discussions around tooling, frameworks, and system design.

Development & Implementation

• Build and maintain features across our Java, Spring Boot, and React full-stack applications.
• Use AI coding agents to accelerate development, while reviewing, testing, and taking ownership of the code they produce.
• Build responsive user interfaces and robust backend services.
• Write tests that ensure code quality and system reliability.
• Participate in code reviews, providing and receiving constructive feedback to maintain high standards.
• Write clean, well-documented code following solid engineering principles and design patterns.

AI, Agents & Automation

• Help build and prototype AI agents that automate and optimize title transfer processes and operational workflows.
• Identify opportunities to leverage AI and automation to reduce manual effort and improve efficiency.
• Work with the team's emerging agent stack (Python, Google's Agent Development Kit, and GCP) as it takes shape.
• Stay curious about emerging technologies and evaluate their potential application to business problems.

Collaboration & Learning

• Collaborate with product managers, domain experts, and business stakeholders to understand requirements and translate them into technical solutions.
• Work closely with cross-functional teams including UX/UI designers, QA engineers, and DevOps to deliver end-to-end solutions.
• Learn from experienced engineers through pairing, code reviews, and technical planning sessions.
• Share what you learn about AI coding agents and agentic tooling with the wider team.

Continuous Improvement

• Stay current with emerging technologies, frameworks, and industry trends, especially in agentic AI.
• Identify opportunities for technical debt reduction and system optimization.
• Contribute ideas to the evolution of team standards, processes, and tooling.
• Participate in agile ceremonies including sprint planning, daily standups, and retrospectives.

Requirements & Tech Stack

Required Qualifications

• Master's or Bachelor's degree in Computer Science (completed or in progress); Master's preferred.
• Proven hands-on experience building agentic AI applications through personal, academic, or professional projects; please share links or descriptions.
• Regular use of AI coding agents in your development workflow, with the judgment to review, test, and own the code they produce.
• Strong programming fundamentals in at least one backend language such as Java, Python, Go, C#, or similar.
• Exposure to frontend development with modern JavaScript frameworks (React, Vue, Angular, or similar).
• Solid understanding of software design principles (SOLID, DRY, KISS) and common design patterns.
• Understanding of RESTful API design.
• Familiarity with relational databases and data modeling.
• Experience with version control (Git) and exposure to CI/CD practices.
• Passion for learning and staying current with technology trends and best practices.
• Strong problem-solving abilities and analytical thinking.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with Java, Spring Boot, and the Spring ecosystem.
• Experience building React applications.
• Experience building agents in Python.
• Exposure to agent frameworks such as Google's Agent Development Kit (ADK) or similar.
• Exposure to Google Cloud Platform (GCP) or another major cloud platform.
• Familiarity with agent concepts such as tool calling, retrieval, multi-agent orchestration, and evaluating agent behavior.
• Interest in modular monolith architectures and when to use monoliths vs. microservices.
• Exposure to Domain-Driven Design concepts.
• Experience with Docker and containerization.
• Background in automotive, logistics, or document processing domains.
• Experience with test-driven development (TDD).
• Side projects, open-source contributions, hackathons, or experimentation with different tech stacks.
• Active participation in technology communities, conferences, or online learning.
• Experience across multiple programming paradigms (OOP, functional, etc.).

Technical Stack

• Backend: Java, Spring Boot, Spring Modulith
• Frontend: React, JavaScript/TypeScript
• AI & Agents: Python, Google Agent Development Kit (ADK), Google Cloud Platform (GCP)
• Development Workflow: AI coding agents
• Database: Relational databases
• Architecture: Modulith, modular monolith design
• Tools: Git, Maven/Gradle, Docker, CI/CD pipelines
• Testing: JUnit, Mockito, React Testing Library
• Infrastructure: On-premise data centers, with GCP for agent development.

What Makes This Internship Special

• Greenfield Development: Help build modern systems from scratch rather than maintaining legacy code.
• Technical Variety: Work across the full stack and on AI agents, exploring different approaches to solving problems.
• Agentic AI in Practice: Build AI agents that tackle real operational problems, not just demos.
• AI-Native Engineering: Develop production software with AI coding agents alongside engineers who use them daily.
• Real-World Complexity: Solve challenging problems in the vehicle title transfer and ownership space at scale.
• Modern Practices: Learn contemporary architectural patterns in a production environment.
• Growth Opportunity: Build a strong foundation in full-stack engineering and agentic AI that sets up your career.
• Business Impact: Your work contributes to systems that enable Copart's core business operations affecting millions of transactions.
• Learning Culture: Work with engineers who are curious, love experimenting with new tech, and value continuous learning.