University Internships

Learn to build AI platforms, agents and apps — for credit

Debouillet runs remote, university-approved internships for enrolled undergraduate and graduate students at US universities. Placements are unpaid and completed for academic credit — Fall, Spring or Summer, 10–20 hours a week around your classes. You work on live AI agent platforms, AI workflows and shipping venture apps with senior engineers, and we handle the paperwork with your faculty sponsor.

How we work

Open internship tracks

AI Agent Platform Intern

Help build our AI agents platform — Claude-powered agents, tool use and AI workflows that run real business automation for clients.

Fall / Spring / Summer cohort — 10–20 hrs/weekRemote (US time zones)Unpaid — university-approved, for academic credit

You'll own

Build and test AI agents on Anthropic's Claude: prompts, tool calling, retrieval and evals
Wire AI workflows into real client systems (MCP servers, APIs, webhooks, scheduled jobs)
Write eval cases and document what makes an agent reliable enough to ship
Keep a weekly build log your faculty sponsor can review as coursework evidence

Who it's for

Currently enrolled undergrad or graduate student at a US university (CS, data science, cognitive science, informatics or similar)
Coursework or side projects using an LLM API — class assignments and hackathon builds absolutely count
Comfortable reading and writing Python or TypeScript; you can follow a codebase you didn't write
Curiosity about where agents break, not just where they demo well

What you'll learn

How a production AI agents platform is architected, evaluated and monitored
Hands-on Claude tool use, MCP, RAG and prompt/eval engineering
A shippable portfolio artifact plus a reference letter for your program

AI Software Engineering Intern (Full-Stack)

Build software with AI: full-stack React and Postgres product work on our venture apps, shipped with AI-assisted development from day one.

Fall / Spring / Summer cohort — 10–20 hrs/weekRemote (US time zones)Unpaid — university-approved, for academic credit

You'll own

Build features in React + TypeScript against a Supabase/Postgres backend
Model tables, write row-level security policies and keep the API surface tight
Use AI coding tools as part of the workflow — and learn where to trust them and where not to
Open pull requests, respond to review, and ship to production on a real release cadence

Who it's for

Enrolled undergrad or graduate student at a US university
One data structures / software engineering course under your belt, or equivalent self-taught projects
Working knowledge of JavaScript or TypeScript and basic SQL
You finish things — a small deployed project beats a large unfinished one

What you'll learn

How AI software gets built and shipped end to end, not just prototyped
Real code review, Git workflow, database design and production debugging
Two or three named features in a live product you can point to in interviews

iOS App Development Intern (SwiftUI)

Work on the iOS apps in our venture portfolio — SwiftUI screens, device integrations and StoreKit, built alongside AI tooling and taken through App Store review.

Fall / Spring / Summer cohort — 10–20 hrs/weekRemote (US time zones)Unpaid — university-approved, for academic credit

You'll own

Build SwiftUI screens and components for shipping venture apps
Help integrate device features, Live Activities, notifications and StoreKit subscriptions
Assist with App Store submissions: screenshots, metadata, review responses
Test on device, file clear bug reports and fix what you find

Who it's for

Enrolled undergrad or graduate student at a US university
Swift from coursework, a personal app, or an iOS development class
Familiar with SwiftUI basics — state, navigation, lists
A Mac you can build on (Xcode is all you need; we cover any paid tooling)

What you'll learn

What it actually takes to get an app through App Review and onto the store
SwiftUI at production scale, plus StoreKit and device integration
A public App Store credit on a real shipped product

AI Product Design Intern

Design the interfaces for AI products and agent workflows — design systems, motion and flows across our venture portfolio.

Fall / Spring / Summer cohort — 10–20 hrs/weekRemote (US time zones)Unpaid — university-approved, for academic credit

You'll own

Design screens and flows for AI tools, dashboards and agent workflows
Extend design systems and tokens so multiple ventures stay visually distinct
Prototype motion and interaction states, then pair with engineers to get them built
Run quick usability passes and turn what you learn into design revisions

Who it's for

Enrolled undergrad or graduate student at a US university (design, HCI, media arts or similar)
A portfolio — class projects, personal work and student-org design all count
Working knowledge of Figma: components, auto layout, variables
Interest in how people trust, correct and control AI output

What you'll learn

How design systems are built and maintained across a product portfolio
Designing for AI-specific problems: latency, uncertainty, human review
Shipped screens in live products for your portfolio, with a design critique record

AI Growth & Answer-Engine Optimization Intern

Own how an AI platform gets found — technical SEO plus answer-engine optimization for AI tools, AI agents and AI workflow searches.

Fall / Spring / Summer cohort — 10–20 hrs/weekRemote (US time zones)Unpaid — university-approved, for academic credit

You'll own

Run keyword and SERP research across AI platform, AI automation and LLM development topics
Write and publish content pages targeting real search demand
Implement technical SEO: metadata, schema markup, internal linking, sitemaps
Track how AI answer engines cite the site and report what moves

Who it's for

Enrolled undergrad or graduate student at a US university (marketing, communications, business, analytics or similar)
Strong writer — coursework, student publications or a personal blog is fine evidence
Comfortable in spreadsheets and analytics dashboards
Willing to learn a little HTML and how search crawlers actually work

What you'll learn

Technical SEO and answer-engine optimization taught hands-on, not theoretically
How organic demand becomes qualified pipeline for a software business
A documented case study with before/after ranking data for your portfolio

Open Internship Application

Studying something adjacent — data science, business, ops, video, research? Tell us what you'd build with AI here over one term.

Fall / Spring / Summer cohort — 10–20 hrs/weekRemote (US time zones)Unpaid — university-approved, for academic credit

You'll own

Propose a scoped project you could realistically ship in a 10–20 hr/week term
Agree on deliverables with us and your faculty sponsor up front
Report progress weekly and ship something real by the end of the term

Who it's for

Enrolled undergrad or graduate student at a US university
A clear one-paragraph pitch for the work you want to own
Evidence you finish what you start

What you'll learn

A self-directed project with senior review the whole way through
Exposure to how an AI software studio operates day to day
Academic credit and a reference tied to work you defined yourself

How the program works

Academic credit

Every placement is unpaid and university-approved. We complete your school's paperwork, learning agreement and hour logs.

Faculty sponsor loop

We coordinate with your faculty advisor on scope, deliverables and mid-term and final evaluations.

Fully remote, class-first

10–20 hours a week, US time zones, scheduled around your course load. Exam weeks are protected.

Real shipped work

You work on live client builds and venture products — not a sandbox project that gets deleted in May.

Claude-first tooling

Anthropic models, MCP agents and AI development tools paid for, so you learn the stack studios actually use.

Portfolio and reference

You leave with named work you can show, plus a written reference from the engineer who mentored you.

Why people stay

Interns return semester after semester because this is a culture built on momentum, not meetings. We use AI and modern tooling to accelerate learning, ship real work, and build a community of students who teach each other.

Build together, learn faster

Every intern works on live products beside senior engineers. We pair in public, review code in the open, and turn each sprint into a shared lesson.

Technology as education

Claude, MCP agents and AI-assisted workflows are not replacements here — they are force multipliers. You learn how to direct, validate and ship with the best tools available.

A hiring loop that respects your time

One short application, one conversation, a clear decision. We designed the loop for people who have classes, jobs and side projects — no ghosting, no homework auditions.

Community over competition

Interns join a group chat of builders across design, backend, mobile and growth. Ask questions, share launches and find collaborators for your own projects.

Workforce multipliers

We hire for curiosity, ownership and taste — then give you the autonomy to own features end to end. Small teams, clear scope, outsized impact.

Proof, not paperwork

You leave with shipped work in your portfolio, a written reference and a network of engineers who have seen you solve real problems.

Request more information

Every role runs through a university-approved internship or partnership track. Tell us your program and what you'd like to build — we reply either way.