AI Engineer Intern
Summary
Build and test AI prototypes (LLMs, RAG, agentic systems) to automate mortgage workflows like loan processing and customer service.
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 for our interns in order for them to learn and grow 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.
An AI Engineer Intern will support the research, development, and evaluation of artificial intelligence solutions designed to improve mortgage operations, including loan origination, servicing, workflow efficiency, and customer experiences.
In this role, you will apply foundational knowledge of machine learning, neural networks, Transformer architectures, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI systems to real-world business challenges. Working alongside experienced engineers and business stakeholders, you will research technical approaches, develop prototypes, test and evaluate AI systems, and help determine where AI can meaningfully improve processes and reduce manual effort.
DUTIES & RESPONSIBILITIES
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Research & Develop AI Solutions – Explore and prototype AI/ML solutions that improve business processes and customer experiences
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Automate Repetitive Tasks – Identify opportunities to apply AI and automation to reduce manual effort
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Build & Improve AI Workflows – Assist in developing LLM, RAG, agentic, and traditional machine learning workflows
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Test & Evaluate Solutions – Evaluate AI outputs for accuracy, reliability, performance, and appropriate business use
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Support Responsible AI – Assist with safeguards, testing, documentation, and human-in-the-loop processes
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Collaborate Across Teams – Work with technical and business stakeholders to understand problems and develop appropriate solutions
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Research Emerging Technology – Stay current with developments in AI, machine learning, LLMs, and related technologies and evaluate their potential application