Forward-Deployed AI Engineer

Mortgage processing is document-intensive. You'll build the AI layer that makes documents machine-readable and actionable:

Extend and improve document extraction pipelines — income documents, appraisals, title, and more — using the latest extraction and classification models

Build retrieval-augmented systems that let underwriters and borrowers query complex loan files in natural language

Design feedback mechanisms that use reviewer corrections to improve extraction accuracy over time

You'll use AI to make the borrower journey faster, clearer, and less stressful — and give loan officers AI-powered tools that make them dramatically more effective:

Build AI-generated task lists and smart checklists that adapt to each borrower's loan scenario

Create intelligent routing and prioritization — which loan needs attention now, which borrower is at risk of drop-off, which condition is the blocker

Design conversational AI experiences that guide borrowers through complex decisions without requiring a loan officer on every interaction

You'll care about whether the AI actually works — not just whether it runs:

Build evaluation frameworks that measure AI output quality against ground truth, not just latency

Design human review workflows where AI confidence is low, and use those reviews to create labeled training data

Monitor production AI performance — accuracy, coverage, failure modes — and iterate relentlessly

Experience in fintech, lending, insurance, or another regulated industry

Full-stack experience — comfortable building lightweight UIs, APIs, or internal tools when needed

Cloud deployment experience (AWS preferred) — you can containerize, deploy, and operate the systems you build

Experience with document understanding — OCR, extraction models, structured data from unstructured sources

Background in building human-in-the-loop systems — review workflows, feedback capture, and data flywheel design

Experience with mortgage or real estate data

Familiarity with workflow automation tools (n8n or similar)

Exposure to fine-tuning or model adaptation for domain-specific tasks

Experience building AI products that handle PII and navigate regulatory requirements (FCRA, GLBA)

Mortgage AI is still wide open. Unlike ad tech or e-commerce, where AI optimization is a rounding error, in mortgage lending an AI system that works changes whether a family gets their home. The problems are complex, the data is rich, and the solutions don't exist yet. You'll build them.

You'll push the limits of what AI agents can actually do. Not summarization. Not chatbots. Real agents navigating real loan files, making real recommendations, running complex multi-step workflows across multiple systems. The kind of AI engineering that makes you a better engineer.

AI-first means AI-first. Every engineer here uses AI to build AI. Claude Code, agentic workflows, AI-assisted code review — we don't add AI to our process, AI is our process. The team you'll join is already operating at the frontier.

Direct impact on a $2 trillion industry. Your work will touch every loan we process. When you make underwriting faster, thousands of borrowers get answers sooner. When you improve document extraction, loan officers spend less time on paperwork and more time helping people.