AI Software Engineering Intern

UNION HOME MORTGAGE•Strongsville, OH

6d•Onsite

About The Position

Union Home Mortgage’s L.E.A.D Internship Program’s goal is to provide a fun, interesting, and real-world environment for our interns to Learn about the industry, be Educated by Sr. Leadership and their peers, Achieve their personal goals and Develop their skills and knowledge base. We pride ourselves in providing innovative programs to our interns for them to learn and grow as they progress through their careers. Some of the programs we offer include: shadowing, mentoring, professional development, group projects and we even take our interns on corporate outings! Our internship program gives students a chance to meet new people, gain more experience, and learn from the best in the business! Our interns are treated like full-time Partners who work 40 hours a week during the 3-month summer program, are compensated, and based out of headquarters in Strongsville, Ohio. The AI Software Engineer Intern works as part of a software development team to design, develop, test, and maintain software solutions that meet business and product needs. This role represents the evolution of the traditional Software Developer Intern. The team follows established software development practices including Agile delivery, requirements and user stories, source control, peer review, testing, deployment processes, and architectural standards. However, AI-assisted development is expected to be a fundamental part of how modern software engineering is performed. Interns will learn how to use AI development tools throughout the software development lifecycle to generate and modify implementations, create tests, troubleshoot problems, understand unfamiliar code, develop documentation, and improve existing solutions. At the same time, interns will develop the software engineering fundamentals necessary to critically evaluate what AI produces and ensure resulting software meets established standards. The internship provides hands-on experience with both professional software engineering practices and the emerging AI-native tools that are changing how modern software is developed.

Requirements

Strong interest in software engineering, foundational programming knowledge, problem-solving ability, and a desire to learn how AI is changing modern software development.
Passion for software development, technology, computer science, and AI.
Foundational understanding of programming and software development concepts.
Interest in AI-assisted software engineering and emerging development tools.
Ability and willingness to understand, evaluate, debug, and improve AI-generated code.
Strong analytical and problem-solving skills.
Familiarity with object-oriented programming concepts.
Interest in APIs, databases, web applications, cloud technologies, and modern application architecture.
Ability to learn and follow established coding, architecture, security, and engineering standards.
Self-motivated with strong written and verbal communication skills.
Willingness to work both independently and collaboratively.
Strong desire to learn and adapt as software engineering practices continue to evolve.
Pursuing a 4-year college degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field.
Completion of programming coursework or equivalent hands-on development experience.
Experience with an object-oriented programming language through coursework or personal projects.

Nice To Haves

Exposure to AI-assisted development tools is preferred but not required.
Personal software projects, coursework, hackathons, or other examples of hands-on development are a plus.

Responsibilities

Design, develop, test, and maintain software solutions with guidance from experienced software engineers.
Use AI-assisted development tools throughout the software development lifecycle.
Translate product requirements, user stories, designs, and technical requirements into functional software.
Use AI tools to assist with generating implementations, tests, documentation, troubleshooting approaches, and refactoring.
Learn to critically review and validate AI-generated software rather than accepting generated solutions without evaluation.
Develop and maintain applications, APIs, integrations, services, and data solutions using established technology standards.
Create and maintain unit and integration tests.
Enhance, maintain, and troubleshoot existing applications.
Participate in source control, pull requests, peer reviews, and established CI/CD processes.
Work with Product Owners, UI/UX Designers, senior engineers, QA resources, and other team members throughout the development lifecycle.
Participate in Agile activities including planning, estimation, daily stand-ups, demonstrations, and retrospectives.
Troubleshoot defects and learn how to identify appropriate solutions.
Follow established architectural, security, performance, accessibility, and maintainability standards.
Explore emerging AI development capabilities and learn how they can be effectively incorporated into professional software engineering practices.