Full Stack Engineer (D2C), San Francisco, CA
About The Position
HomeLight is seeking a product-minded, AI-native engineer to build intelligent systems and AI-powered product experiences. This role is for someone who actively leverages AI to move faster, thinks in systems, and enjoys operating in ambiguity. AI is embedded into the company's design, build, and scaling processes, not just an add-on. The engineer will collaborate with cross-functional teams to design, implement, and maintain scalable backend services using Ruby on Rails and modern frontend applications using React.js (and React Native). A key aspect of the role involves integrating AI-driven capabilities into business workflows, architecting systems that combine traditional service-oriented architecture with AI components, and continuously improving code quality through testing and automation. The engineer will also leverage AI development tools responsibly, review code (including AI-generated code), maintain a deep understanding of business requirements, and collaborate with various teams to ensure engineering decisions align with company goals. Utilizing data and experimentation for informed decisions and monitoring production systems, including AI features, are also core responsibilities.
Requirements
- 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 (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.
- 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 with the ability to balance deterministic software systems and probabilistic AI systems.
Nice To Haves
- 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 working 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.
Responsibilities
- 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.
Benefits
- Medical (Aetna or Kaiser), Dental & Vision (Guardian)
- Long-Term Disability & Short-Term Disability
- Hospital Indemnity Insurance, Accident Plan, and Employee Critical Illness (Guardian)
- 401k (Vestwell), Life Insurance (Guardian) & Pet Insurance (Nationwide)
- Commuter benefits are offered in certain locations
- PTO, including Volunteer Days to give back to your community
- Annual Anniversary Perks, including one month paid sabbaticals!
- HomeLight Services to help you with buying and selling your home
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
