We're a small team within Blackboard building a new AI-native product.
AI coding tools — Claude Code, Cursor, and similar — generate the majority of our code.
Our engineers are architects, reviewers, and product thinkers: people who know how to direct AI development agents effectively, ship features end-to-end and make judgment calls when the requirements are still evolving.
Everyone on the engineering team owns features end-to-end — from the data pipeline to the AI orchestration layer to the student-facing interface.
The work varies by the week, and the surface area is large.
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.
Deployment infrastructure, CI/CD, and environment management — no dedicated DevOps to hand off to.
Contribution to shared component libraries and codebase standards as the team grows.
Active use of AI-assisted development tooling to maintain high output without sacrificing code quality.
Stay on the bleeding edge of the AI ecosystem — Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next.

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

AI coding toolsReactNext.jsTypeScriptNode.jsPythonPostgreSQLLLM APIsAI-powered featuresCI/CD

Soft Skills

product instinctsdecision making under ambiguityuser experience improvementownershipcollaborationadaptabilitycommunication