Staff Engineer, Agentic Intelligence - San Francisco
AI summary of the role
HomeVision is building an AI underwriting agent for the mortgage industry, and this staff engineer will own the policy framework that encodes underwriting judgment into configurable, testable policies.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and build the policy framework that encodes underwriting judgment into configurable, testable policies
- Author real-world underwriting rules as clear, testable policy including escalation paths and human-in-the-loop boundaries
- Establish and tune evals to measure policy correctness across messy loan files, building datasets and harnesses
- Maintain the agent runtime including tool use, orchestration, context management, retries, and guardrails
What you’ll bring
- Strong engineering proficiency with top-notch coding skills and ability to use AI-powered coding tools
- Experience building and operating LLM-based or agentic systems in production
- Experience designing configuration-driven systems (rules engines, policy/DSL frameworks, feature-flag or config platforms)
- Rigorous, empirical approach to evaluation in systems where correctness is hard to define
Technologies
LLM · agentic systems · Go · Python · TypeScript · rules engines · policy/DSL frameworks · feature-flag platforms · evaluation harnesses · human-in-the-loop
About HomeVision
AI platform (MIRA) that automates mortgage document review and underwriting for lenders and appraisal management companies, starting with collateral/appraisal QC.
Seed · 10–50 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Staff Engineer, Agentic Intelligence Location: San Francisco - hybrid, in-office two days a week Compensation: Competitive base + leadership-level equity Build the policy framework that makes an underwriting agent trustworthy Mortgage underwriting is the work of deciding whether a loan can be approved - checking a borrower’s income, assets, credit, and collateral against a dense web of rules and documents. We’re teaching an AI agent to do that work. But an agent is only as good as the policies that govern it. The hard part isn’t getting a model to produce an answer - it’s encoding underwriting judgment into the policies the agent reasons against, and building a framework flexible enough that those policies can be configured, customized, and changed as fast as the business and its lenders demand. That’s the problem we’re solving. Who we are HomeVision is the AI underwriting
More from the job description
Staff Engineer, Agentic Intelligence Location: San Francisco - hybrid, in-office two days a week Compensation: Competitive base + leadership-level equity Build the policy framework that makes an underwriting agent trustworthy Mortgage underwriting is the work of deciding whether a loan can be approved - checking a borrower’s income, assets, credit, and collateral against a dense web of rules and documents. We’re teaching an AI agent to do that work. But an agent is only as good as the policies that govern it. The hard part isn’t getting a model to produce an answer - it’s encoding underwriting judgment into the policies the agent reasons against, and building a framework flexible enough that those policies can be configured, customized, and changed as fast as the business and its lenders demand. That’s the problem we’re solving. Who we are HomeVision is the AI underwriting platform for the $13 trillion U.S. mortgage industry. Our platform, MIRA, has already automated more than two million appraisal reviews for many of the country’s largest lenders and appraisal management companies, reducing review time by 75% and doubling underwriter productivity. Now we’re expanding beyond appraisal review to cover the full underwriting workflow - income, assets, credit, collateral, and loan file decisioning - to create the first end-to-end AI underwriting platform for the industry. M [... source excerpt omitted ...] rest of the team builds agents and policies against. Mentor and recruit the engineers who’ll work alongside you. Ship fast and learn faster. Take capabilities from rough ideas to production in days, not weeks. Watch how they perform on real files and rapidly iterate. Who you are You’re deeply product-oriented. You enjoy engaging with customers and learning a new domain. You think beyond implementation details and care how technical decisions shape outcomes and trust. You’re a builder at heart. You’ve shipped meaningful systems used by real customers. You likely have side projects, strong opinions about technology, and genuine curiosity about where AI is heading. You are a creat [... source excerpt omitted ...] cy. Your coding skills are top-notch, as is your ability to wield AI-powered coding tools to expand your impact. Experience building and operating LLM-based or agentic systems in production. Experience designing configuration-driven systems - rules engines, policy/DSL frameworks, feature-flag or config platforms, or similar systems where behavior is driven by data, not redeploys. A rigorous, empirical approach to evaluation - you know how to measure quality in systems where “correct” is hard to define, and you trust data over vibes. Comfort working across the stack when it matters - you’re comfortable moving between our Go/Python backend and our TypeScript frontend to build hol
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