AI Engineering Intern

*Note: I had to add a salary to get the listing to publish. This is an unpaid position.
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Subvent builds software that helps community-based organizations and small businesses run smoother operations and access resources. This role focuses on creating a secure customer onboarding and account experience, plus AI features that help customers get answers and produce stronger narratives.

*Position overview
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You will work on a Next.js application running on Firebase Studio and Google Cloud, using Gemini for AI features.

*Location
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• Remote-friendly.
• Primary working location/time zone: Remote. Eastern time preferred.

Compensation

• Unpaid internship.
• Academic credit: Academic credit is available. Please add your school credit policy if credit is desired, and any paperwork the school requires us to fill out.
• Experiential learning credits may be another term for academic credit.
• Benefits and reimbursement: None.

*Expected responsibilities
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• Build production-ready UI features in a Next.js (React) codebase.
• Implement multi-step onboarding forms with strong UX:
• Client-side and server-side validation.
• Autosave and draft states.
• Progress indicators and recovery from errors.
• Accessibility (keyboard support, focus management, helpful error messages).
• Design and implement Firestore data models and write secure Firebase Security Rules.
• Build and maintain serverless backend logic using Firebase Functions or Google Cloud Functions.
• Implement an AI support chatbot:
• Chat UI and backend endpoints.
• Grounded responses using a curated knowledge base (FAQ, policies, product docs).
• Safety controls, logging, and clear escalation behavior when the model is unsure.
• Build an AI-assisted writing workflow:
• Structure and store inputs, outputs, and feedback.
• Support iteration loops that improve draft quality over time.
• Write clear, testable code and document technical decisions.
• Collaborate asynchronously through short specs, GitHub PRs, and code reviews.

*What you will build
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• Customer onboarding flow
• Multi-step forms that collect business and project details.
• Secure persistence of data in Firebase.
• User Profile (editable account area)
• A profile page to view and update onboarding data.
• Role-aware editing and audit-friendly updates.
• Consistent data handling across onboarding and profile.
• AI customer support chatbot
• A chat experience backed by Gemini and a curated knowledge base.
• Basic safety, logging, and escalation paths.
• AI-assisted content editing workflow
• AI-draft generations.
• Structured storage and feedback mechanisms.

*Position requirements (what the role requires)
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• Ability to work independently in a remote, asynchronous environment.
• Ability to write and maintain production-quality code in a collaborative codebase.
• Comfort working with form-heavy UX, including validation, accessibility basics, and multi-step state management.
• Comfort with Git and a pull-request based workflow.
• Reliable communication and progress updates (written status updates, short specs, and PR notes).

*Candidate qualifications
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Minimum qualifications (must have)

• Proficiency in JavaScript/TypeScript.
• Experience building React applications and at least one project using Next.js.
• Understanding of REST APIs and client-server architecture.

*Education
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• Preferred degree path: TBD (add one that matches your program needs, for example: pursuing a Bachelor’s or Master’s in Computer Science, Software Engineering, Information, or a related field).
• Equivalent experience: We welcome candidates with equivalent practical experience and strong project work.

*Specific skills to look for (strong indicators)
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• Next.js -App Router, server and client components, API routes, and auth-aware routing. -Performance basics (loading states, caching, minimizing unnecessary re-renders).
• Firebase -Firestore data modeling (document structure, indexes, query constraints). -Authentication (sign-in flows, session handling). -Security Rules that enforce least-privilege access. -Emulator usage for local development. -Serverless backends
• Firebase Functions or Cloud Functions (HTTP triggers, background triggers).
• Logging and error handling patterns.
• AI integration
• Calling LLM APIs reliably (timeouts, retries, rate limits).
• Structured outputs and prompt iteration.
• RAG fundamentals (retrieval, grounding, citations or source attribution).
• Basic safety and evaluation thinking (hallucinations, deferrals, feedback loops).
• Testing
• Unit and integration testing for UI and functions.
• Familiarity with CI basics.
• Preferred qualifications (nice to have)
• Familiarity with AI-enabled software engineering tools (Gemini, Claude, Google AI, etc.).
• Prior experience building chat interfaces or knowledge-base driven help experiences.

*What success looks like
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• Onboarding reliably captures and stores organization and project data with a smooth user experience.
• User Profile supports secure editing and consistent data across the product.
• Chatbot answers common questions accurately and defers appropriately when uncertain.
• AI structures application drafts and improves with feedback.

*Time commitment and eligibility
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• Flexible hours, typically 5–10 hours per week.
• Start and end dates: TBD (add specific dates or a range).

*How to apply
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Please share:

• A short note about your experience with Next.js and Firebase. Links to GitHub projects or a portfolio.
• (Optional) Any AI or LLM work you have done, even small experiments.