About the Role
*AI Vibe Coding & Automation Engineering Internship**
Remote | Unpaid Internship | 3–6 Months | 15–20 hrs/week | Master's Degree Required
THIS IS NOT A SUMMER INTERNSHIP. We are hiring immediately.
*About the Internship**
We are seeking a
*graduate-level intern specializing in Artificial Intelligence, AI Automation, or Data Science**
to help build software using an
*AI-assisted development workflow known as "Vibe Coding."**
Unlike traditional software engineering internships, this role is
*not focused on manual coding or building backend services from scratch.**
Instead, interns will learn to
*orchestrate AI development systems**
— specifically
*Claude CLI and repository memory systems — to generate, review, refactor, and finalize production-ready code using existing engineering resources.**
Interns will work with a
*large structured documentation system and AI knowledge index**
that contains architecture documentation, coding standards, and implementation workflows. Using these resources, interns will guide AI tools to build and iterate on
*MVP software systems**
.
Depending on the project assignment, interns may work on:
AI-assisted development of internal platform featuresAI-assisted development of marketing software toolsAI-driven code reviews and refactoring workflowsautomated software generation pipelines
This internship is ideal for students interested in
*AI-assisted software development, automation systems, and building real-world AI engineering workflows.*What is Vibe Coding?
Vibe Coding is an emerging development methodology where engineers
*guide AI systems to generate and refine software**
instead of manually writing every line of code.
In this role, interns will learn to:
train AI systems to understand a codebaseretrieve architecture knowledge using vector databasesgenerate implementation plans for new featuresreview and refactor AI-generated codefinalize production-ready implementations
Rather than acting as a traditional programmer, the intern acts as an
*AI systems operator and architect**
, guiding the AI to produce correct implementations using existing engineering assets.
*What You'll Work On**
Interns will primarily work from our
*Vibe Coding Internship Backlog**
, which contains structured tasks such as:
Setting up AI development environments using Claude CLIconfiguring AI toolchains and development workflowsanalyzing existing repositories and architecture documentationdefining MVP scopes based on product documentationguiding AI to generate code based on existing engineering patternsreviewing and refactoring AI-generated codedebugging issues and validating implementationsdocumenting AI-assisted development processes
Projects may include
*Platform DevelopmentAI-assisted development of features for our microservices-based platformgenerating and refining backend and frontend components using AI*Marketing Softwarebuilding internal marketing toolsimplementing automation and data processing workflowsdeveloping AI-assisted analytics tools*Key ResponsibilitiesLearn and operate an AI-assisted software development workflowanalyze technical documentation to determine MVP feature scopeguide AI tools to generate new code based on existing architecturereview, refactor, and finalize AI-generated implementationsdebug and correct AI-generated code when necessarydocument implementation workflows and development findingscollaborate with engineers and product leadership on feature scope*Required Qualifications
Master's degree in one of the following (or closely related fields):
Artificial IntelligenceData ScienceMachine LearningAI EngineeringComputational Analytics
Strong interest in
*AI-assisted development workflows**
Comfort working with technical documentation and architecture systems.
Basic familiarity with
APIs and software architecture conceptsPython or data science toolsAI tools and automation systems
Strong analytical and problem-solving ability.
Ability to guide AI tools to produce correct outputs.
*Preferred Qualifications**
Experience with any of the following is a plus:
AI automation toolsvector databases or embeddingsprompt engineering