Location: San Francisco (Hybrid - In-person 2-3 days per week)
Compensation: $140,000 – $190,000 + Meaningful Equity
About HomeVisionHomeVision is building the next generation of AI-powered software for the $13 trillion mortgage industry. Our platform, MIRA, automates the manual review of mortgage documents, helping lenders close loans faster and with less friction - ultimately saving borrowers time, money, and stress. We have already transformed appraisal operations for the country's top lenders, cutting review times by over 75%. Now, we are aggressively expanding MIRA to cover the entire loan file - automating income, assets, and credit analysis - to create a holistic underwriting utility for the industry.
At HomeVision, we like working with smart, curious and kind people who enjoy hard problems and real responsibility. Engineers here own meaningful projects end to end, from design to deployment, and collaborate closely with product, design and our go-to-market teams. We value low ego, high ownership, clear communication, and respect for each other’s time. We always try to “do the loving thing” in how we work together and with our customers and partners.
About the RoleWe are looking for a Fullstack Engineer to join our core product team in San Francisco. You will work directly with our founders, designers, and ML engineers to build the interfaces and infrastructure that power MIRA. This is not a "maintain the legacy code" role; you will be architecting new features that allow complex AI decisions to be understood and acted upon by real humans.
What You Will DoShip Product End-to-End: You will own features from database schema to UI components. You'll build the interfaces that underwriters use to interact with our AI, making complex data intuitive and actionable.
Architect for Scale: Design and implement robust solutions using Go and PostgreSQL to handle complex loan file data, ensuring high availability and low latency as we scale to millions of documents.
Bridge the AI Gap: Work closely with our ML team to integrate AI services into our core SaaS platform, ensuring seamless handoffs between our decisioning models and the user application.
Elevate Engineering Culture: Drive continuous improvement by championing code reviews, writing clean design docs, and improving observability (metrics/logging) to keep our velocity high and our production environment stable.
Production Experience: 4+ years of software engineering experience, with a track record of shipping high-quality code in a production environment.
Backend Fluency: Strong experience with Go (preferred), Java, C++, or similar strongly typed languages. You understand concurrency, data modeling, and distributed systems.
Frontend Competence: Proficiency with React, TypeScript, or similar modern JS frameworks. You don't need to be a designer, but you should be comfortable building and debugging complex UIs.
Cloud Native Mindset: Experience building on AWS (Lambda, SQS, S3) and familiarity with containerization (Docker).
Ownership: You have experience (or a strong desire) to lead projects. You don't just write code; you take responsibility for the outcome.
Experience with Python in a data/ML context (pandas, numpy, etc.).
Background in Fintech, Mortgage Tech, or complex workflow automation.
Experience with Infrastructure-as-Code (Terraform/Pulumi) or DevOps practices.
Strong empathy for users and a habit of thinking through edge cases.
A product mindset, focusing on how features solve real customer problems.
Clear communication and a collaborative approach to working with teammates.
Willingness to ask questions, share progress early and learn from feedback.
Sense of ownership over the quality and reliability of your work.
Based in, or willing to relocate to, the San Francisco Bay Area.
Able to work in our San Francisco office 2 to 3 days per week.
Competitive salary and meaningful equity package.
Salary range: $140,000-190,000, depending on experience and talent level.
Medical, dental and vision coverage.
401(k) plan with company match.
Parental leave, maternity and paternity.
Flexible vacation policy.
Continuous learning and professional development support.
Top Skills
HomeVision San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


