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

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

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 ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

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 ...

Union Technologies

Manufacturing Engineering Intern

Dallas, TX · On-site

$16.50 - $21.50/hr

... integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale ... Engineering Intern for our facility to support steel forging for U.S. defense. You'll get your ...

Union Technologies

Manufacturing Engineering Intern

Dallas, TX · On-site

$16.50 - $21.50/hr

... integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale ... Engineering Intern for our facility to support steel forging for U.S. defense. You'll get your ...

Medtronic

Engineering Intern - Summer 2027

Fort Worth, TX

$16 - $20.75/hr

Engineering Intern Opportunities for Students Interns may support one or more engineering areas ... Contribute to system integration, verification, validation, risk analysis, and data-driven ...

Medtronic

Engineering Intern - Summer 2027

Fort Worth, TX · On-site

$16 - $20.75/hr

Engineering Intern Opportunities for Students Interns may support one or more engineering areas ... Contribute to system integration, verification, validation, risk analysis, and data-driven ...

Coffman Engineers

Electrical Engineering Intern

Dallas, TX

$18.75 - $24.75/hr

To meet client objectives and to integrate our many disciplines, we can create teams comprised of ... We are seeking a dynamic and innovative Electrical Engineering Intern for our Dallas office during ...

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All JobsIntegration Engineer Intern JobsIntegration Engineer Intern Jobs in Denton, TX

Integration Engineer Intern information

See Denton, TX salary details

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How much do integration engineer intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for integration engineer intern in Denton, TX is $23.83, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $27.07 per hour, depending on experience, location, and employer.

What is an integration engineer intern?

Integration Engineer Interns are students or recent graduates who assist in connecting different software systems, applications, or platforms within an organization. They work under the guidance of experienced integration engineers to help design, implement, and test integration solutions. Their responsibilities often include writing code, troubleshooting integration issues, and ensuring that different systems communicate effectively. This internship provides hands-on experience in software development, system architecture, and problem-solving in a collaborative environment.

What is the difference between Integration Engineer Intern vs Software Engineer Intern?

AspectIntegration Engineer InternSoftware Engineer Intern
Required CredentialsTypically pursuing a degree in engineering, computer science, or related fields; some internships may prefer knowledge of systems integrationUsually pursuing a degree in computer science, software engineering, or related fields; programming skills are essential
Work EnvironmentFocuses on integrating hardware and software systems, often in tech or manufacturing settingsPrimarily involved in developing and testing software applications in tech companies or startups
Employer & Industry UsageCommon in industries like telecommunications, manufacturing, and IT servicesWidespread across software development, tech startups, and IT firms

Integration Engineer Interns typically work on system integration projects, combining hardware and software components, while Software Engineer Interns focus on developing software applications. Both roles require technical knowledge but differ in their focus areas and industry applications.

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

To thrive as an Integration Engineer Intern, you need a foundational understanding of software development, APIs, and data exchange protocols, often supported by coursework or experience in computer science or engineering. Familiarity with integration tools such as MuleSoft, Dell Boomi, or similar platforms, along with basic knowledge of programming languages like Java or Python, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and troubleshoot integration issues. These skills are crucial for ensuring seamless system connections and supporting successful project outcomes in a technical environment.

What typical projects or tasks can an integration engineer intern expect to work on during their internship?

As an Integration Engineer Intern, you can expect to work on projects that involve connecting different software systems, tools, or databases to streamline processes within the company. Tasks may include writing scripts or using APIs to automate data flows, assisting with troubleshooting integration issues, and collaborating with development and QA teams to ensure seamless system interoperability. You'll gain hands-on experience with integration platforms and learn industry best practices, all while contributing to real-world solutions. Interns often have the opportunity to present their work and receive feedback, which is valuable for professional growth.
What cities near Denton, TX are hiring for Integration Engineer Intern jobs? Cities near Denton, TX with the most Integration Engineer Intern job openings:
Integration Engineer Intern jobs near you

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 17 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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