AI Product Engineer

Emploi pas sur LinkedIn

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $154 000 - $210 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Anthology Inc

Site WebLinkedInTous les Emplois

1001 - 5000 employés

💰 Venture Round en 2023-01

Anthology propose des solutions en éducation et en technologie afin que les étudiants puissent atteindre leur plein potentiel et que les institutions éducatives prospèrent. Des millions d'étudiants à travers le monde sont soutenus tout au long de leur parcours éducatif grâce à l'écosystème de solutions SaaS phares d'Anthology et de services de soutien, y compris le Blackboard® primé (LMS), Anthology® Student (SIS/ERP), et Anthology® Reach (CRM). Avec le pouvoir du collectif, nous inspirons de manière unique les éducateurs et les institutions grâce à une innovation significative, simple et intelligente pour aider nos clients à redéfinir ce qui est possible et créer des opportunités qui changent la vie des gens partout. 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.

🎯 Exigences

• 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.