AI Infrastructure Engineer Intern

Pattern Bioscience

. Build and improve shared AI platform components, including the AI gateway, tool registry, and workflow automation .

Posted 10/22/2026internshipLehi • Utah • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in Python and software engineering fundamentals, with a focus on building and improving AI platform components. Capable of developing integrations, conducting evaluations, and collaborating cross-functionally to enhance workflow automation and model quality.

Highest-signal resume keywords

Proficiency In PythonSoftware Engineering FundamentalsFamiliarity With APIsExperience With CI/CDInterest In AI Platform Problems

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTypeScriptJavaVersion ControlTestingCode ReviewWorkflow AutomationModel EvaluationsObservability ChecksIntegration Development

Soft Skills

Problem-SolvingCommunicationOwnership MindsetEagerness To LearnCollaboration

Tools & Technologies

AWSContainersMCP ServersAI GatewayTool Registry

Industry Keywords

AI PlatformWorkflow AutomationModel QualityAgent IntegrationCloud Infrastructure

Tech Stack

Tools & technologies

AWSCloudJavaPythonTypeScript

About the role

Key responsibilities & impact

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's products and data
Create evaluations and observability checks to measure model, agent, and workflow quality, cost, and reliability
Turn proven AI skills and prompts into automated, production-ready workflows with appropriate guardrails
Review code, ship through CI/CD, and document work for adoption by other teams
Gather feedback from internal users to guide future iterations
Work directly and cross-functionally with AI team members and other technology teams
Participate in technical assessment, interviews, and executive review hiring process

Requirements

What you’ll need

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 language such as TypeScript or Java
Solid software engineering fundamentals: version control, testing, and code review
Familiarity with APIs and cloud infrastructure (AWS, containers, CI/CD) is preferred
Exposure to LLM APIs, agents, or MCP is a plus
Interest in AI platform problems such as model gateways, evaluations, observability, and workflow automation
Side projects in AI platform areas are advantageous
Strong problem-solving and communication skills
Ownership mindset and eagerness to learn and support internal users in a collaborative environment
Undergraduate or graduate student status

Benefits

Comp & perks

Opportunity for a potential full-time role after the internship
Potential extension to continue working part-time after returning to school
Mentorship and career growth under AI team members
Employee experience-centered culture
Work-life balance and fun community