Summer 2026 Intern, AI Engineer

Ryan

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profile Job Location:

Plano, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 18 hours ago
Vacancies: 1 Vacancy

Job Summary

Why Ryan

  • Competitively Paid Internship

  • Award-Winning Culture

  • Paid Holidays

  • Mentorship Opportunities and Hands-On Training

  • Networking with Industry Leaders

  • All-Expense-Paid Trip to Ryan Headquarters in Dallas TX (Summer Interns Only)

We are seeking an AI Engineer Intern interested in building and advancing agentic AI systems that power next-generation this role you will work alongside a team of engineers and subject matter experts to design develop and deploy intelligent systems that automate complex workflows and enhance decision-making. You will gain hands-on experience working with cutting-edge AI technologies including large language models (LLMs) retrieval-augmented generation (RAG) and multi-agent systems while contributing to solutions used by real clients.

Duties and Responsibilities:

  • Design develop and implement agentic AI systems including multi-step workflows tool-calling and multi-agent coordination
  • Build and optimize retrieval-augmented generation (RAG) pipelines including chunking strategies embedding models and search methodologies
  • Develop and maintain evaluation frameworks to measure system performance accuracy and reliability
  • Conduct rapid prototyping and experimentation to evaluate new models tools and architectural approaches
  • Integrate LLM APIs into production systems including handling structured outputs retries and performance optimization
  • Implement AI safety and trust mechanisms including validation monitoring and human-in-the-loop processes
  • Analyze system performance identify issues and iterate on solutions using data-driven approaches
  • Collaborate with cross-functional teams to deliver scalable and reliable AI-powered solutions

Education and Experience:

  • Working toward a Bachelors or Masters degree in Computer Science or Artificial Intelligence.
  • Anticipated graduation date within one year of internship
  • Minimum Overall and Major GPA of 2.8
  • Minimum of 6 12 Accounting or technical hours depending on practice
  • Experience with Python and software development best practices
  • Familiarity with large language models (LLMs) and model APIs (e.g. OpenAI Anthropic Google)
  • Exposure to retrieval systems machine learning concepts or AI application development preferred

Professional Skills Requirements:

  • Strong problem-solving and analytical skills with attention to detail
  • Ability to work in a fast-paced innovative environment and manage multiple priorities
  • Strong written and verbal communication skills
  • Ability to work both independently and collaboratively within a team environment
  • Demonstrated curiosity and interest in emerging AI technologies and trends
  • Intermediate knowledge of all Microsoft Office applications Outlook and etc.

Computer Skills:

To perform this job successfully an individual must have knowledge of Python and familiarity with modern development tools and environments. Experience with version control systems (e.g. Git) APIs and cloud-based platforms is preferred. Also an individual must have intermediate knowledge of Microsoft Word Access Excel PowerPoint Outlook and Internet navigation and research.

Certificates and Licenses:

Valid drivers license required.

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Equal Opportunity Employer: disability/veteran


Required Experience:

Intern

Why RyanCompetitively Paid InternshipAward-Winning CulturePaid HolidaysMentorship Opportunities and Hands-On TrainingNetworking with Industry LeadersAll-Expense-Paid Trip to Ryan Headquarters in Dallas TX (Summer Interns Only)We are seeking an AI Engineer Intern interested in building and advancing ...
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About Company

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Ryan is a global tax services, software, and technology firm providing an integrated suite of federal, state, local, and international tax services to companies across the world.

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