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

🗣️🇺🇸🇬🇧 Anglais requis

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Anthology Careers

1 - 10 employés

👥 RH Tech

🤝 B2B

☁️ SaaS

HR Tech • B2B • SaaS

Anthology Careers est une entreprise spécialisée dans les services d'intégration et les solutions RH pour les entreprises. Elle propose des outils et un soutien pour des processus tels que l'intégration des employés avec ADP, la vérification d'emploi I-9 via Workbright, ainsi que la gestion du temps et des présences. L'entreprise offre également des services spécifiques pour les recrutements au Canada, assurant la conformité avec diverses lois et réglementations du travail. Sa plateforme facilite l'intégration fluide des nouveaux employés tout en offrant une assistance via des FAQ et un support en direct.

Description

• 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.

🎯 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.

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