AI Product Engineer

Job not on LinkedIn

🕒 March 12

🇺🇸 United States – Remote

💵 $154k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Anthology Inc

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💰 Venture Round on 2023-01

Anthology delivers education and technology solutions so that students can reach their full potential and learning institutions thrive. Millions of students around the world are supported throughout their education journey via Anthology’s ecosystem of flagship SaaS solutions and supporting services, including the award-winning Blackboard® (LMS), Anthology® Student (SIS/ERP), and Anthology® Reach (CRM). Through the Power of Together, we are uniquely inspiring educators and institutions with innovation that is meaningful, simple and intelligent to help customers redefine what’s possible and create life-changing opportunities for people everywhere. www.anthology.com.

📋 Description

• 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.