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# Agentic AI, Senior Software Development Engineer

- **Company:** ZILLOW INC
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,900.0 - $257,100.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Machine Learning, Azure Machine Learning, Software Engineering, Workflow Management Systems, Large Language Models, Multi-Agent Systems, Backend, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents, GPT, Databricks
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj25lc0sym

## About the Role

* 4+ years of backend engineering experience, with a track record of designing, shipping, and operating scalable production ML services
 * Experience building platform infrastructure or developer-facing services consumed by multiple teams; you've thought carefully about APIs, user experience, reliability, and what it means to have internal customers
 * Hands-on experience with ML Evals & Observability frameworks (Databricks MLflow, or evolving LLM frameworks preferred - LangSmith, Braintrust, Promptfoo, or similar)
 * Experience evaluating third-party AI platforms and making principled build vs. buy decisions for platform infrastructure
 * Fluency working across applied science, ML, product, design, and engineering; you translate between disciplines without losing precision
 * Comfort with LLMs, agentic systems, and evaluation frameworks; familiarity with orchestration tools (LangChain, LangGraph, MCP, or similar)
 * A habit of reaching for AI-assisted development tools in your own workflow; you don't just build for AI, you build with it
 * Strong ownership and a growth mindset; you're energized by ambiguity, not slowed by it, * Advanced degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience building products using frontier LLMs, multimodal models, or agent-based systems
 * Experience designing and operating evaluation pipelines: offline batch evals, online scoring, cost/latency/signal tradeoffs, and closing the loop from user signals back to training data.

## Description

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.


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