AI Engineer Intern

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

• Research & Develop AI Solutions - Explore and prototype AI/ML solutions that improve business processes and customer experiences

• Automate Repetitive Tasks - Identify opportunities to apply AI and automation to reduce manual effort

• Build & Improve AI Workflows - Assist in developing LLM, RAG, agentic, and traditional machine learning workflows

• Test & Evaluate Solutions - Evaluate AI outputs for accuracy, reliability, performance, and appropriate business use

• Support Responsible AI - Assist with safeguards, testing, documentation, and human-in-the-loop processes

• Collaborate Across Teams - Work with technical and business stakeholders to understand problems and develop appropriate solutions

• Research Emerging Technology - Stay current with developments in AI, machine learning, LLMs, and related technologies and evaluate their potential application

• Basic to intermediate programming proficiency in Python and familiarity with software development concepts

• Foundational understanding of machine learning, including supervised/unsupervised learning, training and validation, loss functions, optimization, overfitting, generalization, and model evaluation

• Foundational understanding of neural networks and deep learning, including layers, weights, activation functions, forward propagation, backpropagation, and gradient-based learning

• Ability to explain the fundamentals of Transformer architectures, including attention/self-attention, tokens, embeddings, context windows, and autoregressive generation

• Understanding of tokenization and embeddings, including how text is represented for LLMs and how embeddings support semantic search and retrieval

• Familiarity with large language models (LLMs), including pretraining, inference, prompting/context engineering, tool calling, model limitations, hallucinations, and evaluation

• Familiarity with RAG, fine-tuning, and model adaptation, including the high-level differences between prompting, retrieval, and fine-tuning approaches

• Interest in AI agents and agentic workflows, including tool use, state, memory, routing, and orchestration; exposure to LangGraph, LangChain, or similar frameworks is a plus

• Exposure to AI/ML libraries or frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, NumPy, or pandas is preferred

• Strong analytical, problem-solving, communication, and technical research skills with the ability to explain how and why an AI system works, not simply how to use it

EDUCATION & EXPERIENCE

• Currently pursuing a bachelor's or graduate degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Software Engineering, Mathematics, Statistics, or a related technical discipline

• Relevant coursework in artificial intelligence, machine learning, deep learning, natural language processing, algorithms, statistics, probability, linear algebra, or calculus is preferred

• Foundational understanding of the mathematical and computational principles underlying modern AI and machine learning

• Experience through coursework, research, independent study, personal projects, hackathons, open-source contributions, or previous internships is welcomed

• Demonstrated ability to research technical concepts, experiment with different approaches, evaluate results, and clearly communicate findings

• A GitHub profile, AI/ML project, research project, technical portfolio, or similar demonstration of technical work is preferred

• Prior professional AI engineering or machine learning experience is not required

Applications are accepted on a rolling basis and positions are open until filled (this may be prior to the job posting expiration date).


At UHM, we understand diversity comes in many different forms. It's our commitment to improve inclusion in the workplace through programs and policies that establish a positive and inclusive environment where every Partner, regardless of their background, can grow and excel. We value diversity, educate on equity, and create inclusive partner opportunities to ensure that you know #UBelongAtUHM!


This employer participates in E-Verify. If hired, the employer will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.


Union Home Mortgage Corp. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.