245 matches
HomeVision
HybridFull-timeGo - Python
Evertune
$120k–300kHybridFull-timePython - Go
HackerOne
$180k–220kRemoteFull-timeOkta - AWS IAM
Staff engineer owning the policy and intelligence layer of HomeVision's underwriting agent. Builds a configurable framework for encoding underwriting rules as policies, writes evals for policy quality, and maintains the agent harness (tool use, orchestration, guardrails). Stack includes Go/Python backend, TypeScript frontend, and LLM-based agentic systems.
Staff Engineer, Agentic Intelligence
Location: San Francisco - hybrid, in-office two days a week
Compensation: Competitive base + leadership-level equity
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.
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. MIRA’s been adopted by dozens of real enterprise customers with contracted production demand, including Newrez, the fourth-largest mortgage lender in the U.S. and a strategic investor in HomeVision, alongside our venture backers, Initialized Capital and NVP Capital.
We’re looking for a staff-level engineer to own the intelligence and policy layer of our underwriting agent - the policies that encode underwriting judgment and the configurable framework that lets us author, customize, and dynamically change them across lenders, investors, and loan products. You’ll partner directly with our ML engineers, our CTO, and senior product leadership to define and execute our agentic roadmap.
We’re a hybrid team headquartered in San Francisco, with team concentrations in Seattle and Argentina, with other great team members in parts of the U.S.
Our values are the ones we actually use:
We’re growing the engineering team meaningfully over the next twelve months and this role will have a direct hand in shaping who that team becomes.
Send a note, a résumé, and (ideally) links to things you’ve built. GitHub, side projects, products you’ve shipped - whatever lets us see how you think and build.
We’re thoughtful and deliberate about who joins the team, but we move quickly when we find the right person.