HomeVision

Own internal infrastructure and agentic productivity to automate software development lifecycle and platform operations, partnering with leadership to build tools increasing engineering velocity and reliability. | Strong proficiency in Go, Python, or TypeScript; experience with production-grade developer tooling or SRE systems; hands-on experience with LLMs or agents; proven technical leadership. | 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. 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. 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 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. 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. Our values are the ones we actually use: Start with questions, not answers. Run at problems - make your footprint bigger than your foot. Continuous learning, continuous improvement. Be transparent and collaborative. Value time. Play to win, win for everyone. Always do the loving thing. 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. 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.

Lead frontend UX design and platform evolution for AI-assisted workflows while mentoring engineers. | Deep proficiency in React and TypeScript with experience leading complex product surfaces end-to-end and working across the stack. | Staff Frontend Engineer, AI Product UX Location: San Francisco - hybrid, in-office two days a week Compensation: Competitive base + leadership-level equity Help define how humans trust AI decisions AI is transforming mortgage lending, but underwriting decisions still require humans to verify, interpret, question, and approve what AI systems produce. The challenge is not just delivering automation. It is designing interfaces that help professionals confidently work alongside AI in high-stakes financial workflows. 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. We have contracted production demand from real enterprise customers, including Newrez, the fourth-largest U.S. mortgage lender and a strategic investor, alongside our backers Initialized Capital and NVP Capital.. We’re looking for a staff/principal-level frontend/product engineer to help define the interaction layer between humans and AI across the underwriting process. You’ll partner directly with our Head of Design, our CTO, and senior product leadership to shape the platform’s core interaction model, not just implement it. What you’ll do Define the future of AI-assisted underwriting. Design and build workflows that help underwriters, processors, and loan officers confidently work alongside AI systems and build trust. Create intuitive UX patterns for explainability, auditability, exception handling, and human-in-the-loop review. Own the cross-platform frontend and design system. Lead the evolution of our frontend platform across web and future embedded experiences, including in-document review and lender integrations. Architect components so the team can ship faster as we scale. Elevate the team. Establish the frontend patterns, libraries, and review standards the rest of the engineering team builds against. Mentor and recruit the engineers who’ll work alongside you. Ship fast and learn faster. Take features from rough ideas to production in days, not weeks. Watch how customers actually use them and rapidly iterate. Drive tools and process improvement. Share ideas and test tools that accelerate prototyping to production at higher velocity and quality. 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 user behavior and product outcomes. You’re a builder at heart. You’ve shipped meaningful products used by real customers. 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 workflow problems. Complex systems, making sense of dense information and documents, operational tooling, and AI-assisted decision-making genuinely interest you. What you’ll bring on the technical side Deep proficiency in React and TypeScript is ideal but not required. We trust that great engineers can come up to speed quickly. A clear sense of how to architect front-end systems that can extend and scale. Comfort working across the stack when it matters - you can read and reason about our Go/Python backend even if you don’t live there. Experience building AI-native interfaces or complex, data-dense applications. Bonus if you’ve worked on document review, decisioning, or workflow products. Track record of leading a product surface end-to-end - not just features. 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. Our values are the ones we actually use: Start with questions, not answers. Run at problems - make your footprint bigger than your foot. Continuous learning, continuous improvement. Be transparent and collaborative. Value time. Play to win, win for everyone. Always do the loving thing. 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. 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.

Design and build configurable AI policy frameworks and own agent runtime with leadership and mentoring responsibilities. | Strong proficiency in Go, Python, TypeScript and experience with production LLM-based or agentic systems and configuration-driven system design. | 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. 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. What you’ll do Own the policy framework. Design and build the framework that turns underwriting judgment into policies the agent reasons against - structured so policies can be configured per lender, investor, and loan product, customized for edge cases, and changed dynamically without a code deploy. Author the policies themselves. Translate dense, real-world underwriting rules - including escalation paths and human-in-the-loop boundaries - into clear, testable policy that the agent executes reliably. The difference between an agent that’s clever and one that’s trustworthy in a high-stakes financial workflow. Make policy quality measurable. Establish and tune evals that prove a given policy behaves correctly across messy, real loan files. Build the datasets and harnesses that measure it, and turn results into a fast iteration loop. Own the agent harness it runs in. Maintain the runtime the agent operates in - tool use, orchestration, context management, retries, and guardrails - so policies execute reliably and safely on complex, multi-step tasks. Elevate the team. Establish the patterns, libraries, and review standards the 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 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 and more engaged when you’re involved. You’re excited by difficult workflow problems. Agent reliability, evaluation under ambiguity, encoding judgment as configurable policy, and AI-assisted decision-making genuinely interest you. What you’ll bring on the technical side Strong engineering proficiency. 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 holistic solutions. Track record of leading a technical surface end-to-end - not just features. Bonus if you’ve worked on decisioning, document understanding, or human-in-the-loop products. 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. Our values are the ones we actually use: Start with questions, not answers. Run at problems - make your footprint bigger than your foot. Continuous learning, continuous improvement. Be transparent and collaborative. Value time. Play to win, win for everyone. Always do the loving thing. 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. 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.

Lead frontend development of AI-assisted underwriting platform and mentor engineering team. | Senior-level frontend engineer with product focus, strong React/TypeScript skills, and experience leading complex workflows. | Staff Frontend Engineer, AI Product UX Location: San Francisco - hybrid, in-office two days a week Compensation: Competitive base + leadership-level equity Help define how humans trust AI decisions AI is transforming mortgage lending, but underwriting decisions still require humans to verify, interpret, question, and approve what AI systems produce. The challenge is not just delivering automation. It is designing interfaces that help professionals confidently work alongside AI in high-stakes financial workflows. 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. We have contracted production demand from real enterprise customers, including Newrez, the fourth-largest U.S. mortgage lender and a strategic investor, alongside our backers Initialized Capital and NVP Capital.. We’re looking for a staff/principal-level frontend/product engineer to help define the interaction layer between humans and AI across the underwriting process. You’ll partner directly with our Head of Design, our CTO, and senior product leadership to shape the platform’s core interaction model, not just implement it. What you’ll do • Define the future of AI-assisted underwriting. Design and build workflows that help underwriters, processors, and loan officers confidently work alongside AI systems and build trust. Create intuitive UX patterns for explainability, auditability, exception handling, and human-in-the-loop review. • Own the cross-platform frontend and design system. Lead the evolution of our frontend platform across web and future embedded experiences, including in-document review and lender integrations. Architect components so the team can ship faster as we scale. • Elevate the team. Establish the frontend patterns, libraries, and review standards the rest of the engineering team builds against. Mentor and recruit the engineers who’ll work alongside you. • Ship fast and learn faster. Take features from rough ideas to production in days, not weeks. Watch how customers actually use them and rapidly iterate. • Drive tools and process improvement. Share ideas and test tools that accelerate prototyping to production at higher velocity and quality. 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 user behavior and product outcomes. • You’re a builder at heart. You’ve shipped meaningful products used by real customers. 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 workflow problems. Complex systems, making sense of dense information and documents, operational tooling, and AI-assisted decision-making genuinely interest you. What you’ll bring on the technical side • Deep proficiency in React and TypeScript is ideal but not required. We trust that great engineers can come up to speed quickly. • A clear sense of how to architect front-end systems that can extend and scale. • Comfort working across the stack when it matters - you can read and reason about our Go/Python backend even if you don’t live there. • Experience building AI-native interfaces or complex, data-dense applications. Bonus if you’ve worked on document review, decisioning, or workflow products. • Track record of leading a product surface end-to-end - not just features. 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. Our values are the ones we actually use: • Start with questions, not answers. • Run at problems - make your footprint bigger than your foot. • Continuous learning, continuous improvement. • Be transparent and collaborative. • Value time. • Play to win, win for everyone. • Always do the loving thing. 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. 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.