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Testing Engineer Intern Jobs in Denton, TX (NOW HIRING)

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Support testing, debugging, deployment, and monitoring of AI services on Azure. * Document AI ...

Amrize

RMX Project Engineering Intern (Summer 2027)

Plano, TX · On-site

$15.75 - $20.25/hr

RMX Project Engineering Intern (Summer 2027) | Req ID: 17929 | HR Contact: Elizabeth P BIRMINGHAM ... Quality Control and Testing: Assist in the testing and inspection of concrete samples, such as ...

Copart, Inc.

Site Reliability Engineer Intern

Dallas, TX · On-site

$56.50 - $75/hr

... Engineer Intern to join our SRE team at our Dallas location. This role is pivotal in ensuring the ... Coordinate and perform periodic failover testing for Copart's network, systems infrastructure, and ...

Amrize

RMX Project Engineering Intern (Summer 2027)

Plano, TX · On-site

$15.75 - $20.25/hr

RMX Project Engineering Intern (Summer 2027) | Req ID: 17929 | HR Contact: Elizabeth P BIRMINGHAM ... Quality Control and Testing: Assist in the testing and inspection of concrete samples, such as ...

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How much do testing engineer intern jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for testing engineer intern in Denton, TX is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.62 per hour, depending on experience, location, and employer.

What does a testing engineer intern do?

A Testing Engineer Intern assists in evaluating software, hardware, or systems to ensure they meet quality standards and function as intended. They often write and execute test cases, identify bugs, and report issues to the development team. Interns may also help automate testing processes and document test results. This role provides hands-on experience with quality assurance processes and tools, helping interns build skills for a career in testing or engineering.

What types of projects and tasks can a testing engineer intern expect to work on during their internship?

As a Testing Engineer Intern, you can expect to be involved in hands-on testing of software or hardware products under the guidance of experienced engineers. Typical tasks include writing and executing test cases, documenting bugs, assisting with automated test script development, and participating in daily stand-up meetings. You'll often collaborate closely with development teams and QA professionals to ensure product quality. This role provides valuable exposure to industry-standard tools and workflows, helping you build a strong foundation for a future career in testing or quality assurance.

What are the key skills and qualifications needed to thrive as a testing engineer intern, and why are they important?

To thrive as a Testing Engineer Intern, a solid understanding of software testing principles, basic programming skills, and a relevant academic background in computer science or engineering are essential. Familiarity with test management tools (like JIRA), automation frameworks (such as Selenium), and version control systems (e.g., Git) is typically required. Strong attention to detail, analytical thinking, and effective communication help interns identify issues and collaborate with development teams. These skills are crucial for ensuring software quality and reliability while supporting efficient team workflows.

What cities near Denton, TX are hiring for Testing Engineer Intern jobs?

Cities near Denton, TX with the most Testing Engineer Intern job openings:

Testing Engineer Intern jobs near you

AI Intern - Dallas, TX

Plano, TX • On-site

Black Box
See more jobs at Black Boxexternal

Part-time

Re-posted 19 days ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2 years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).

Key Responsibilities AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.

Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.

Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.

Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.

Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).

Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.

Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.

Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.

About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks. Black Box is an equal opportunity employer.

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