Live opening · Posted 8 hours ago

Software Engineering Intern

Copart Catastrophe Response Fleet, LLC · Dallas, TX - Headquarters
Workday
JobBeeper subscribers received an alert for this role.

At a glance

The key details from the original listing.

Posted 8 hours ago
CompanyCopart Catastrophe Response Fleet, LLC
LocationDallas, TX - Headquarters
SkillsPython, JavaScript, TypeScript, React, Next.js, Java, Spring Boot
SourceWorkday
ListedPosted 8 hours ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
8 min from Workday publishing this role to us finding it
3 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
62,514 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

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.
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 environments
#LI-KK1



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

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App