About the job
Fullstack Software Engineer
Location: San Francisco (Hybrid - In-person 2-3 days per week)
Compensation: $140,000 – $190,000 + Meaningful Equity
About HomeVision
HomeVision is at the forefront of revolutionizing the $13 trillion mortgage industry with our cutting-edge AI-driven software. Our platform, MIRA, streamlines the manual review process of mortgage documents, allowing lenders to expedite loan closures with greater ease, ultimately benefiting borrowers by saving them time, money, and reducing stress. We have successfully transformed appraisal operations for leading lenders across the country, achieving a reduction in review times by over 75%. Our ambitious goal is to expand MIRA's capabilities to cover the entire loan file, automating income, asset, and credit analysis, to create a comprehensive underwriting solution for the industry.
At HomeVision, we seek out intelligent, inquisitive, and thoughtful individuals who relish tackling complex challenges and embracing significant responsibilities. Our engineers manage substantial projects from inception to launch, working closely with product, design, and go-to-market teams. We prioritize humility, ownership, transparent communication, and mutual respect. Our ethos revolves around fostering a collaborative environment where we always strive to “do the loving thing” in our interactions with one another and our clients and partners.
About the Role
We are on the lookout for a Fullstack Engineer to integrate into our core product team in San Francisco. In this role, you will collaborate directly with our founders, designers, and machine learning engineers to construct the interfaces and infrastructure that drive MIRA. This is not a role focused on maintaining legacy code; instead, you will be responsible for architecting new features that facilitate understanding and action on complex AI-driven decisions by real users.
What You Will Do
Ship Product End-to-End: Take ownership of features from database schema to user interface components. You'll create the interfaces that underwriters utilize to engage with our AI, rendering complex data intuitive and actionable.
Architect for Scale: Design and implement robust solutions using Go and PostgreSQL to manage intricate loan file data, ensuring high availability and minimal latency as we scale to millions of documents.
Bridge the AI Gap: Collaborate closely with our ML team to integrate AI services into our core SaaS platform, ensuring seamless transitions between our decisioning models and the user application.
Elevate Engineering Culture: Foster continuous improvement by advocating for code reviews, crafting clean design documentation, and enhancing observability (metrics/logging) to maintain high velocity and stability in our production environment.

