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Artificial Intelligence Engineer Intern Jobs in Addison, TX

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

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 ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

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 ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

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 ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

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 ...

Fanniemae

Campus - Technology Program Intern

Plano, TX

$41.50/hr

Across all roles, you will have opportunities to leverage artificial intelligence (AI) and emerging ... Software Engineering * DevOps Engineering * Data Engineering * Technology Infrastructure Your ...

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How much do artificial intelligence engineer intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for artificial intelligence engineer intern in Addison, TX is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.24 per hour, depending on experience, location, and employer.

What does an artificial intelligence engineer intern do?

An Artificial Intelligence (AI) Engineer Intern assists in designing, developing, and testing AI models and algorithms under the guidance of experienced engineers. Their daily tasks may include data preprocessing, training machine learning models, evaluating model performance, and collaborating with team members on various AI projects. Interns often work with programming languages such as Python, and may utilize frameworks like TensorFlow or PyTorch. This role provides hands-on experience in applying AI techniques to real-world problems and helps interns build skills necessary for a career in artificial intelligence.

What types of projects and collaborations can an artificial intelligence engineer intern expect during their internship?

As an Artificial Intelligence Engineer Intern, you'll likely work on a variety of hands-on projects such as developing machine learning models, assisting with data preprocessing, and supporting the deployment of AI solutions. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers to solve real-world business problems. You’ll gain exposure to production environments, code reviews, and may participate in team meetings or brainstorming sessions. This structure provides valuable experience and networking opportunities, while also allowing you to contribute meaningfully to ongoing projects.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer intern, and why are they important?

To thrive as an Artificial Intelligence Engineer Intern, you need a strong background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by coursework or relevant projects. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and understanding of version control systems like Git are typically required. Curiosity, critical thinking, and effective communication help interns learn quickly, collaborate with teams, and contribute innovative ideas. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and build a solid foundation for a future career in AI engineering.

What cities near Addison, TX are hiring for Artificial Intelligence Engineer Intern jobs?

Cities near Addison, TX with the most Artificial Intelligence Engineer Intern job openings:

Artificial Intelligence Engineer Intern jobs near you

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 20 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

12th of 19 rated auctioneers

Job description

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

Benefits Summary:
• Medical
#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

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