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

Make Our Engineering Org as Agentic as Our Product

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 HomeVision 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.

What You’ll Do

• 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.

Who You Are

• 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 at heart. You’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.

What You’ll Bring on the Technical Side

• Strong proficiency in Go, Python, and/or TypeScript is a bonus, but we trust that great engineers can learn on the job.
• Experience building developer tooling, internal platforms, CI/CD, or DevOps/SRE systems in production.
• Hands-on experience building with LLMs or agents - or strong conviction and curiosity about applying them to engineering workflows.
• Comfort with infrastructure and operations - Infrastructure-as-Code (Terraform/Pulumi), observability, and the practices that keep systems healthy under load.
• A track record of leading a technical surface end-to-end. Bonus if you’ve built agentic developer tooling or internal automation that measurably moved a team’s velocity.

How We Work

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.

Compensation and Benefits

• Competitive compensation calibrated to senior/principal-level engineers in San Francisco
• Meaningful equity ownership
• Full medical, dental, and vision coverage
• 401(k) with company match
• Flexible vacation policy
• Parental leave
• Learning and professional development support

How to Apply

• 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.