Staff Engineer, Agentic Productivity and Infrastructure - San Francisco

Staff Engineer, Agentic Productivity & Infrastructure

Location:

San Francisco - hybrid, in-office two days a week

Compensation:
Competitive base + leadership-level equity

AI is transforming mortgage lending - and it's transforming how software gets built. We build AI agents for our customers; we should be just as aggressive about using agents to build and operate Home Vision itself. The opportunity is to make our own software development lifecycle and platform operations radically more automated and agentic, so our small team can ship and operate far more than our headcount would suggest.

Home Vision 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 Home Vision, alongside our venture backers, Initialized Capital and NVP Capital.

We're looking for a staff-level engineer to own internal infrastructure and agentic productivity - the tools, systems, and agents that make our SDLC and platform maintenance faster, safer, and more automated. This is a force-multiplier role for the entire engineering org. You'll partner directly with our CTO and engineering leadership to decide where agents and automation create the most leverage, and then build it.

• Streamline the build-and-ship loop. Design internal systems and agents that accelerate how we write, review, test, and ship code - turning manual engineering toil into automated, agent-assisted workflows.

• Automate platform operations. Build the systems that keep the platform healthy with less human effort - CI/CD, observability, alerting, and agent-assisted monitoring and incident response.

• Continually improve our internal developer platform. Create the paved roads, tooling, and environments that let every engineer ship faster and more safely, and that make our agentic workflows reliable and repeatable.

• Seek leverage. Identify where automation and agents pay off most across the engineering org, prototype quickly, and measure the impact on velocity and reliability.

• Elevate the team. Establish the internal tooling patterns, libraries, and standards the rest of the team builds against. Mentor and recruit the engineers who'll work alongside you.

• You're deeply customer-focused. But in this case, your "customers" are your engineering teammates. You care about their workflows and the outcomes your tools produce, and you measure success by how much faster and safer the org ships.

• You're a builder 've shipped meaningful systems used by real people. You likely have side projects, strong opinions about technology, and genuine curiosity about where AI is heading. You are a creator.

• You operate with urgency and ownership. You move quickly without sacrificing reliability or trust. You proactively identify problems, communicate clearly, and drive solutions.

• You elevate the people around you. You bring strong engineering judgment, high standards, and collaborative energy. Teams become stronger when you're involved.

• You're excited by difficult systems problems. Developer experience, automation, agent reliability, observability, and AI-assisted operations genuinely interest you.

• Strong proficiency in Go, Python, and/or Type Script is a bonus, but we trust that great engineers can learn on the job.

• Experience building developer tooling, internal platforms, CI/CD, or Dev Ops/SRE systems in production.

• Hands-on experience building with LLMs or agents - or strong conviction and curiosity about applying them to…