Full Stack Engineer; D2C), San Francisco, CA San Francisco, CA

Full Stack Engineer (D2C), San Francisco, CA

Who We Are:

We’re building the future of real estate — today.

Home Light is the essential technology platform used by hundreds of thousands of home buyers and sellers to partner with top real estate agents and win at any step of the real estate journey, whether that’s finding a top agent, securing a competitive mortgage, or ensuring an on-time, easy close.

Home Light facilitates billions of dollars of real estate on its platform every year. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all.

Our team breaks barriers every day while staying committed to Home Light's goals and core values, which is a crucial element to our shared success.

Who You Are:

We’re looking for a product-minded, AI-native engineer who doesn’t just ship features — but builds intelligent systems. AI is not an add-on here; it’s embedded into how we design, build, and scale.

If you actively leverage AI to move faster, think in systems, and enjoy operating in ambiguity — this role is for you.

What You'll Do Here:

• Collaborate closely with engineers, product managers, designers, and cross-functional partners to build scalable, AI-powered product experiences.
• Design, implement, and maintain highly scalable and performant backend services using Ruby on Rails.
• Build modern, responsive frontend applications using React.js (and React Native where applicable).
• Integrate AI-driven capabilities into business workflows (LLM-powered features, intelligent automation, semantic search, copilots, or workflow agents).
• Architect systems that combine traditional service-oriented architecture with AI components (model APIs, orchestration layers, evaluation loops).
• Continuously improve code quality through refactoring, automated testing, system testing, and deployment automation.
• Leverage AI development tools responsibly to increase velocity and maintain high-quality standards.
• Review code developed by other engineers and provide thoughtful feedback on performance, scalability, security, and maintainability — including AI-generated code.
• Maintain a deep understanding of business requirements and partner with stakeholders to design thoughtful, scalable solutions.
• Collaborate across marketing, platform, Dev Ops, data, product, and analytics teams to ensure engineering decisions align with broader company goals.
• Use data and experimentation to make informed engineering and product decisions.
• Monitor production systems, including AI-driven features, using observability and monitoring tools.

What You Bring:

• 2+ years of professional experience as a software engineer.
• 2+ years of production experience with Ruby on Rails
  .
• 2+ years of experience with React.js or React Native
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• Hands‑on experience integrating or building AI-powered features into business workflows (e.g., LLM integrations, AI‑assisted user experiences, automation pipelines).
• Experience designing, building, deploying, operating, and maintaining service‑oriented architectures
  .
• Strong experience with relational and non‑relational databases
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• Experience navigating ambiguous and complex project requirements with ownership and clarity.
• Experience with observability and monitoring systems (New Relic, Cloud Watch, Sentry).
• Strong written and verbal English communication skills.
• A product mindset with the ability to balance deterministic software systems and probabilistic AI systems.

Bonus Points For:

• Experience building AI copilots, internal productivity tools, or intelligent automation systems.
• Familiarity with vector databases, embeddings, semantic search, or AI retrieval patterns.
• Exposure to Elastic Search
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• Experience with React Native
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• Experience working with Docker and containerized environments.
• Familiarity with the Amazon AWS ecosystem
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• Experience working in a small, fast-moving team
  , ideally at a startup.
• Contributions to AI‑related side projects, prototypes, or open‑source initiatives.

Why This Role Is Different:

• AI is embedded in our product strategy and engineering culture.
• Engineers are encouraged to experiment, prototype, and rethink workflows through intelligent automation.
• You’ll help shape how AI is implemented across the…