AI Infrastructure Engineer Intern

Pattern•Lehi, UT
•Hybrid

About The Position

Pattern is hiring an AI Infrastructure Engineer Intern for a full-time, roughly 12-week summer internship in 2027. The role is based at Pattern’s headquarters in Lehi, Utah, and follows a hybrid schedule. The intern will work on challenging problems affecting Pattern users and the international ecommerce space, developing technology to address them. Applications are open to undergraduate and graduate students. The intern will work with Pattern’s AI team and cross-functionally with other technology teams. Responsibilities include building shared AI platform components, developing integrations that connect AI agents to Pattern products and data, creating evaluation and observability checks, and helping turn AI skills and prompts into production-ready workflows. The intern will receive mentorship and may be considered for a full-time position after the internship or a part-time extension while returning to school, depending on performance and business needs.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
  • Proficiency in Python or another general-purpose programming language such as TypeScript or Java.
  • Solid software engineering fundamentals, including version control, testing, and code review.
  • Strong problem-solving and communication skills.
  • An ownership mindset and eagerness to learn and support internal users in a collaborative environment.

Nice To Haves

  • Familiarity with APIs and cloud infrastructure, including AWS, containers, and CI/CD.
  • Exposure to LLM APIs, AI agents, or MCP.
  • Interest in AI platform topics such as model gateways, evaluations, observability, and workflow automation.
  • Side projects related to AI platform problems, data, or analytics.

Responsibilities

  • Build and improve shared AI platform components, including the AI gateway, tool registry, and workflow automation.
  • Develop integrations and tools, including MCP servers, connecting AI agents to Pattern products and data.
  • Create evaluations and observability checks to measure model, agent, and workflow quality, cost, and reliability.
  • Help convert proven AI skills and prompts into automated, production-ready workflows with appropriate guardrails.
  • Review code, ship through CI/CD, and document work so other teams can adopt it.
  • Gather feedback from internal users to guide subsequent iterations.
  • Take ownership of assigned projects and follow them through to completion.
  • Participate actively in group collaborations and complete assignments in a timely manner.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service