Forward-Deployed AI Engineer

• You've shipped AI-powered products or agents to production - not just prototypes

• You think in systems: LLM calls, tool use, retrieval, evaluation, and feedback loops are design primitives to you

• You move fast and take ownership - you'd rather build the thing than debate the spec

• You want to be in a market where AI genuinely changes lives, not just optimizes click-through rates

Mortgage lending is a process-heavy industry - condition management, document review, borrower communication, underwriting analysis. You'll design and ship agents that automate or accelerate these workflows end to end:

• Build multi-step LLM agents that can navigate loan files, evaluate conditions, flag exceptions, and surface recommendations to underwriters

• Design agentic workflows with tool use, structured output, memory, and human-in-the-loop checkpoints - not one-shot prompts

• Integrate AI agents with internal systems, external data sources, and third-party APIs to close the loop between insight and action

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)

• $2,000/year professional development budget

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