Full Stack Engineer (D2C), San Francisco, CA
Full stack engineer on HomeLight's D2C team building AI-powered real estate product experiences: scalable Ruby on Rails backend services, React.js/React Native frontends, and LLM-driven features woven into business workflows, with an AI-native engineering culture and strong focus on observability and data-driven decisions.
- Compensation
- Not disclosed
- Location
- San Francisco, CA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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
- Hands-on experience integrating or building AI-powered features into business workflows (LLM integrations, AI-assisted UX, automation pipelines)
- Experience designing, building, deploying, operating, and maintaining service-oriented architectures
- Strong experience with relational and non-relational databases
- Experience navigating ambiguous and complex project requirements with ownership and clarity
- Experience with observability and monitoring systems (NewRelic, CloudWatch, Sentry)
- Strong written and verbal English communication skills
- A product mindset balancing deterministic software systems and probabilistic AI systems
Nice to have
- Experience building AI copilots, internal productivity tools, or intelligent automation systems
- Familiarity with vector databases, embeddings, semantic search, or AI retrieval patterns
- Exposure to Elasticsearch
- Experience with React Native
- Experience with Docker and containerized environments
- Familiarity with the Amazon AWS ecosystem
- Experience working in a small, fast-moving team, ideally at a startup
- Contributions to AI-related side projects, prototypes, or open-source initiatives
Full description
Who We Are:
We’re building the future of real estate — today.
HomeLight is the essential technology platform used by hundreds of thousands of homebuyers 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.
HomeLight 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 HomeLight'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, DevOps, 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.