Descripción
About the team The Agentic AI team at Zillow is transforming the real estate industry by helping millions of people use AI assistants to find their next home. We are building always-on AI experiences that combine personalized user insights with Zillow's deep real estate knowledge. The Memory & Evals team builds foundational capabilities that make these experiences more useful, trustworthy, and scalable.
This includes user memory and context systems, evaluation frameworks, tracing, observability tools, and feedback loops that help teams understand agent behavior, identify failure modes, and continuously improve. As part of this lean, customer-focused team, you will partner with applied scientists, software engineers, machine learning engineers, and product leaders to evolve Zillow's next-generation AI platform.
About the role
We are seeking a collaborative, product-minded backend engineer with strong Agentic AI fundamentals and a passion for building reliable, scalable systems that power AI applications. In this role, you will: - Design, build, and scale evaluation frameworks for Zillow's agentic AI experiences. - Build tracing, observability, and quality measurement systems for production AI agents.
- Create platform infrastructure that enables domain teams across Zillow to build on top of the Evals platform without bottlenecks. - Partner with applied scientists and machine learning engineers to integrate new AI evaluation capabilities into production systems. - Help evolve h
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