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Application Engineer Intern Jobs in Addison, TX (NOW HIRING)

Position Overview We are seeking a motivated DevOps Intern to support the deployment, automation ... Support containerized application deployments using Docker and Kubernetes. * Contribute to ...

2025 - Summer Intern Co-op Conversion

Dallas, TX · On-site

$14.75 - $19.75/hr

Functional Talent Scouts (function or engineering subfunction), who are CC03 or higher employees ... Once you complete your application and attached your updated resume with your most recent Cummins ...

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Application Engineer Intern information

See Addison, TX salary details

$13

$24

$37

How much do application engineer intern jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for application engineer intern in Addison, TX is $24.60, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $27.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an application engineer intern?

To thrive as an Application Engineer Intern, you need a solid understanding of engineering fundamentals, programming languages (such as Python, Java, or C++), and typically be enrolled in a relevant STEM degree program. Familiarity with CAD software, version control systems like Git, and basic knowledge of database management are often required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate with teams and adapt quickly to new challenges. These skills and qualities are crucial for contributing meaningfully to projects and growing professionally within a technical work environment.

What types of projects and responsibilities can an application engineer intern typically expect during their internship?

As an Application Engineer Intern, you can expect to work on projects that involve assisting with software or hardware application development, troubleshooting client issues, and supporting senior engineers with technical solutions. Interns often collaborate closely with cross-functional teams such as product management, quality assurance, and customer support, gaining valuable experience in communication and project coordination. Daily responsibilities may include debugging code, preparing technical documentation, and participating in team meetings to discuss ongoing development challenges. This hands-on exposure offers a great foundation for building technical and professional skills in a real-world engineering environment.

What is the difference between Application Engineer Intern vs Application Engineer?

AspectApplication Engineer InternApplication Engineer
CredentialsTypically pursuing or recently completed a relevant degree; no professional certification requiredBachelor's degree in engineering, computer science, or related field; certifications like Cisco or Microsoft may be preferred
Work EnvironmentInternship setting, often in a corporate or technical team, with supervised tasksFull-time professional role, responsible for designing, testing, and supporting applications
Employer & Industry UsageUsed in tech, manufacturing, and engineering firms for entry-level learning rolesUsed across industries for ongoing technical support, development, and client interaction

The main difference between an Application Engineer Intern and an Application Engineer is experience level and responsibilities. Interns are in learning roles, gaining exposure to engineering tasks, while Application Engineers are full-time professionals handling complex projects and client needs.

What does an application engineer intern do?

An Application Engineer Intern assists with the development, testing, and support of software applications tailored to client or company needs. They work closely with senior engineers to understand user requirements, troubleshoot issues, and help design technical solutions. Interns may also document processes, create prototypes, and sometimes interact with customers to gather feedback. This role offers hands-on experience in both engineering and client-facing aspects of software development.
What job categories do people searching Application Engineer Intern jobs in Addison, TX look for? The top searched job categories for Application Engineer Intern jobs in Addison, TX are:
What cities near Addison, TX are hiring for Application Engineer Intern jobs? Cities near Addison, TX with the most Application Engineer Intern job openings:
Infographic showing various Application Engineer Intern job openings in Addison, TX as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $51,178 per year, or $24.6 per hour.

AI Engineering Fall Co-Op

Lennox International

Richardson, TX • On-site

Full-time

Posted 15 days ago


Lennox International rating

7.1

Company rating: 7.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

340th of 487 rated machine equipment manufacturers


Job description

Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us.


As a Data & AI Co-Op, you will work closely with the Data & AI team and cross-functional partners to support data modeling, AI application development, reporting, and foundational machine learning efforts. This is an excellent opportunity to gain real-world experience with emerging AI technologies, cloud platforms, and data-driven applications in a collaborative, fast-paced environment. You can expect to participate in impactful, developmental projects designed for your specific area of focus. This role will provide you with real work experiences to grow your career and provide exposure to business leaders throughout the company.

Relocation and/or travel may be required for your position.

Why You’ll #LoveLennox:

  • Impactful Projects: Work on meaningful assignments that drive real business results. Your ideas matter here.
  • Intern Community: Connect with peers through social events, team-building activities, and engagement programs.
  • Innovation Exposure: Dive into cutting-edge tech and trends shaping the HVAC and manufacturing industries.
  • Learning and Development: Access workshops, training sessions, and resources to level up your skills and expand your knowledge.
  • Competitive Pay and Relocation Support: Receive a competitive compensation package and relocation support if needed.

WHAT YOU’LL BE DOING:

Data & AI Solution Support
  • Assist in the implementation of data and AI solutions under supervision.
  • Support basic data modeling, AI engineering tasks, and foundational data science practices.
  • Create SQL queries to support reporting, dashboards, and exploratory data analysis.
  • Document processes and assist in maintaining AI pipelines and systems.
Machine Learning & AI Engineering Exposure
  • Participate in team collaboration to gain exposure to machine learning model training and deployment.
  • Learn and apply foundational AI engineering and machine learning practices.
  • Participate in training sessions to learn about AI engineering and machine learning tools used by the team.
  • Support the development of scalable data and AI workflows that integrate multiple systems and services.
Generative AI & Automation
  • Contribute to the development of AI-powered applications using large language models, APIs, and prompt engineering techniques.
  • Learn to utilize LLM models to automate basic tasks and support the development of agentic solutions under supervision.
  • Gain exposure to LLM API integration, evaluation, and deployment practices.
  • Assist with the design and build of generative AI solutions that automate or enhance business processes.
Cloud-Based Data Solutions
  • Support the implementation of cloud-based data solutions by assisting with basic configuration and monitoring tasks.
  • Help the team ensure reliability and scalability across foundational cloud and AI projects.
  • Gain hands-on experience with cloud-based AI solutions, monitoring, and automation capabilities.
Application Integration & Team Support
  • Contribute to the integration of AI functionalities within software applications.
  • Support the team in implementing data and AI-driven applications using web frameworks.
  • Collaborate with team members on projects involving automation platforms, AI workflows, APIs, and software development best practices.
POTENTIAL PROJECT(S):Generative AI Application Development

Design and build an AI-powered application using LLMs to automate or enhance a business process. Gain hands-on experience with prompt engineering, APIs, evaluation, and deployment.

AI Engineering & Automation Platform

Develop scalable data and AI workflows that integrate multiple systems and services. Implement cloud-based AI solutions, monitoring, and automation capabilities following engineering best practices.

WHAT WE ARE LOOKING FOR:
  • Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related STEM field
  • Proficiency in Python and SQL
  • Understanding of machine learning and Generative AI concepts
  • Familiarity with APIs and cloud platforms
  • Strong analytical and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to work independently and as part of a team
  • Passion for learning emerging AI technologies
NICE TO HAVE:
  • Experience with cloud platforms, AI/ML frameworks, LLMs, APIs, data engineering tools, or software development practices
  • Demonstrated curiosity for emerging AI technologies
  • Graduate-level coursework or graduate student status
WHAT YOU’LL GAIN:
  • Hands-on experience supporting real data and AI projects
  • Exposure to machine learning, Generative AI, automation, and cloud-based solution development
  • Opportunities to collaborate with cross-functional teams on AI-driven business applications
  • Development of professional skills in data analysis, AI engineering, technical documentation, and problem-solving
  • Practical experience applying emerging technologies to solve business challenges

Requires a high school diploma or an equivalent combination of education and experience. Entry Level.
Developing professional knowledge in the area of expertise. Solid written and verbal communication skills. Proficient in Microsoft Office.


Compensation: This is an hourly non-exempt role. The starting pay range for this role and market is between $22.50 – $25/hour. This rate is based on the intern's current year in their respective university programs. Graduate students may receive a higher rate of pay based on their year in school. Employees in this role are also eligible to earn overtime when they work more than 40 hours in a week (or as otherwise required by state law).

Our Culture: At Lennox, our Core Values of Integrity, Respect & Excellence are ingrained in the fabric of the organization.  They define our culture – which is about how we do business and how we treat others. Lennox is not just a workplace; we are a global community that values each team member’s contributions. As an equal opportunity employer, we are committed to recruit, develop, and retain talented individuals from a wide range of backgrounds, ensuring that everyone has the opportunity to succeed and contribute to our continued growth and success. At Lennox, you’ll take pride in our brands, knowing you are part of something special. Come, stay, and grow with us!

Disclaimers: The compensation and benefits information is accurate as of the date of this posting. Lennox reserves the right to modify this information at any time, with or without notice, subject to applicable law. 

We may use automated tools, including artificial intelligence, to support parts of our hiring process, such as application review and interview scheduling. These tools assist our teams but do not replace human decision-making. If you need an accommodation or have questions, please contact CandidateAccommodations@Lennox.com.


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