Product Surfaces
Student-facing product interfaces — the core user experience that learners interact with daily
Real-time features that surface AI intelligence in ways that feel immediate and useful, not mechanical
Responsive, performant UI built on a shared component library
Backend & AI Integration
API routes and backend services connecting the user interface to the intelligence and data layers
AI orchestration integration: streaming responses, agent outputs, structured recommendations in context
Event-driven ingestion pipelines that translate platform activity into structured, reliable signals
Data & Infrastructure
Storage architecture and schema design for persistent user state — built to evolve as the product grows
Deployment infrastructure, CI/CD, and environment management — no dedicated DevOps to hand off to
Data access controls and audit logging that satisfy institutional security and compliance requirements
Quality & Velocity
End-to-end feature ownership from spec to production — including testing, monitoring, and iteration
Active use of AI-assisted development tooling to maintain high output without sacrificing code quality
Contribution to shared component libraries and codebase standards as the team grows
Stay on the bleeding edge of the AI ecosystem — Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next.
When a better way to build exists, find it and bring it in.
Please include a link to your portfolio/GitHub as part of your application.

Requirements

You work natively with AI coding tools (Cursor, Claude Code, or equivalent) — not as a curiosity, but as your actual development workflow
You've shipped products to real users — full-stack, with real accountability for whether they work
You're comfortable across the stack: React/Next.js/TypeScript on the frontend, Node.js or Python on the backend, PostgreSQL for data
You've integrated LLM APIs or built AI-powered features in production (streaming, structured outputs, agent patterns)
Strong product instincts: you notice when something feels off in the user experience and you fix it, even if it wasn't in your ticket
You can move fast, make good decisions under ambiguity, and leave the codebase better than you found it
Fluency in written and spoken English.

Applicant Tracking System Keywords

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

Hard Skills & Tools

ReactNext.jsTypeScriptNode.jsPythonPostgreSQLAPI integrationAI orchestrationCI/CDevent-driven architecture

Soft Skills

product instinctsproblem-solvingdecision-makingadaptabilitycommunicationownershipattention to detailcollaborationuser experience focusfast-paced work