Full Stack Engineer (D2C), San Francisco, CA at Homelight in San Francisco, CA

Job description

• 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.
• 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 organization — not just consume APIs.
• Let’s chat!

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.

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.
• 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.

Skills

Required

• Ruby on Rails
• React.js
• React Native
• AI integration
• LLM integrations
• Service-oriented architecture
• Relational databases
• Non-relational databases
• Code review
• Automated testing
• Deployment automation

Preferred

• AI copilots
• Internal productivity tools
• Intelligent automation systems
• Vector databases
• Embeddings
• Semantic search
• AI retrieval patterns
• Elasticsearch