Senior Fullstack Engineer, Mortgage Fulfillment AI

🕒 il y a 10 jours

🇺🇸 États-Unis – Télétravail

💵 $156 200 - $262 600 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Zillow, pas via un site d'emploi

Repérée par Remote Rocketship il y a 10 jours

Toujours ouverte sur le site de Zillow. Vérifiée il y a 20 minutes.

Logo of Zillow

Zillow

5001 - 10000 employés

Fondée en 2006

🏠 Immobilier

🛍️ eCommerce

👥 B2C

💰 €4 099 999 Post-IPO Equity en 2012-12

Real Estate • eCommerce • B2C

Zillow est une place de marché immobilière et de location de biens de premier plan qui fournit des informations complètes sur les maisons, appartements et propriétés à vendre ou à louer. Elle offre aux utilisateurs des outils pour rechercher des biens, calculer les taux hypothécaires, et entrer en contact avec des agents immobiliers. La plateforme propose également des algorithmes innovants qui fournissent des Zestimates, des estimations de la valeur marchande des maisons. Zillow est une ressource incontournable pour les particuliers cherchant à acheter, vendre ou louer des propriétés, ainsi que pour les agents et courtiers qui souhaitent atteindre un public plus large.

Description

• Design and build multi-step AI agents for mortgage Fulfillment workflows • Build evaluation frameworks measuring agent reliability, accuracy, and task completion • Improve prompts, models, and fallbacks using evaluation signals • Architect and operate agent infrastructure including model serving, prompt pipelines, batching, queueing, and observability • Build reliability features including idempotency, retries, graceful degradation, and structured logging • Integrate with Encompass, DocuTech, and other third-party platforms • Collaborate with Encompass administrators, Fulfillment operations, and Platform engineering partners • Establish engineering best practices for testing, measurement, observability, and incident response • Mentor engineers through code reviews and design discussions • Own workstream architecture, surface tradeoffs, and drive technical decisions

🎯 Exigences

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or an equivalent combination of education and experience • 8+ years of professional software engineering experience • Experience building and operating scalable, reliable services in a modern cloud environment • Experience owning an AI or ML system in production end to end • Hands-on experience in at least two of: designing and running evaluation pipelines; operating LLM or ML model serving and orchestrating multi-step AI workflows; building reliable third-party platform and external API integrations • Strong infrastructure and AI knowledge • Experience defining correctness measures and building measurement tooling • Comfort with ambiguity and ability to learn specialized domains quickly • Mortgage experience is not required • Equivalent combination of education and experience accepted

🏖️ Avantages

• Equity awards • Remote work from a physical location of choice • Flexible distributed work through Cloud HQ • Accommodation support for disabilities or special needs

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