Senior Fullstack Engineer, Mortgage Fulfillment AI

Zillow

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$164,400–$262,600 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $214k
$153k $274k
below market most similar roles pay here above market

This role pays more than 63% of similar roles. Most pay $192,050–$226,800 — the blue band above. At the midpoint, this role pays about $214k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Zillow

Zillow Group is a leading real estate and rental marketplace providing consumers with data, tools, and services to find, buy, sell, rent, and finance homes, and connecting buyers with agents and lenders. Industry: Real Estate Technology & Marketplace

Zillow currently has 49 open roles on FindRole.

Listed pay typically runs $164,400–$262,600 across 40 roles with salary data.

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View all roles at Zillow

At a glance

TL;DR · Senior Fullstack Engineer, Mortgage Fulfillment AI

The Senior Fullstack Engineer, Mortgage Fulfillment AI joins the Zillow Home Loans Fulfillment engineering team to develop production-grade agentic AI systems. This individual contributor role focuses on designing and building multi-step AI agents to automate mortgage workflows, including document collection, condition clearing, and closing coordination. Key responsibilities include architecting agent infrastructure for model serving, prompt pipelines, batching, and observability while building evaluation frameworks to measure reliability and accuracy in a regulated environment. The engineer will develop robust integrations with third-party platforms like Encompass and DocuTech. Required skills include experience with LLM or ML model serving, orchestrating multi-step AI workflows, and building reliable external API integrations. The role solves the technical challenge of replacing manual human handoffs with autonomous agents to accelerate the mortgage journey.

What you'll do

  • Design and build multi-step AI agents to automate mortgage workflows like document collection and condition clearing.
  • Build evaluation frameworks to measure agent reliability, accuracy, and task completion in a regulated environment.
  • Architect and operate core agent infrastructure including model serving, prompt pipelines, batching, and queueing.
  • Develop robust integrations with third-party platforms like Encompass and DocuTech to read state and write actions.
  • Ensure system reliability through idempotency, retries, graceful degradation, and structured logging.
  • Define engineering best practices for testing, measurement, observability, and incident response.
  • Mentor other engineers through code reviews and technical design discussions.

What we're looking for

  • 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 building and operating scalable, reliable services in a modern cloud environment.
  • Proven experience owning an AI or ML system in production from end to end, including design, shipping, measuring, and iterating.
  • Hands-on experience in at least two of the following: running eval pipelines, operating LLM/ML model serving, or building third-party platform integrations.
  • Strong infrastructure instincts and AI fluency to handle timeouts, race conditions, and retry storms in production.
  • Ability to define correctness metrics and build tooling to measure and improve system signals.
  • Comfort with ambiguity and a track record of going deep in a specialized domain.
  • Drive to learn mortgage rules like TRID and RESPA quickly.

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