AI Product Engineer (Nexus)

Join our team as an AI Product Engineer (Nexus) and take ownership of the surfaces that make our AI platform a reality. In this high-autonomy role, you'll work on a small team to build and ship features that have a significant impact on our product and our users. You'll have the opportunity to work across the full stack, from frontend to backend, and partner closely with various teams to turn raw platform capability into products developers love. If you're a software engineer with a track record of shipping developer-facing products and a passion for AI, we want to hear from you.

• Posséder des fonctionnalités de produit de bout en bout sur Nexus et la plateforme Fireworks, y compris le routage intelligent, les intégrations FireConnect, l'observabilité des coûts et les contrôles d'entreprise.
• Construire la couche de routage et de migration qui évalue la difficulté des demandes en temps réel et envoie le travail de routine aux modèles ouverts.
• Travailler sur l'ensemble de la pile, du frontend (React/TypeScript) aux services backend (Python, Go), aux API et aux couches de données, pour expédier des surfaces de produit de qualité.
• If you're the kind of engineer who ships things other people think are impossible, on timelines other people think are impossible, this is a place where that has enormous leverage and nothing standing between you and impact
• Strong product instincts: you optimize for the developer experience, not just the diff
• The ability to operate at high velocity with extreme ownership: you ship fast, make pragmatic trade-offs, and don't wait to be told what to build
• A track record of shipping developer-facing products: APIs, dashboards, consoles, CLIs, or developer tools
• 3+ years as a software engineer, with meaningful time spent building and shipping user-facing products
• Strong full-stack skills, comfortable across frontend (React/TypeScript), backend (Python, Go, or similar), APIs, and databases
• Genuine end-to-end ownership, you're as comfortable scoping an ambiguous problem as you are deploying the fix at 2am
• You build with AI tools every day, and you have sharp intuition for what a great AI developer experience feels like from the inside
• Comfort in a fast-moving, founder-led environment where the product changes week to week and you're drawing the map as you walk it
• Experience building for deeply technical users, where the product surface is an API as much as a UI
• Experience building products on top of complex infrastructure, inference platforms, cloud services, data platforms, or ML tooling