SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
HomeLight is building the essential technology platform for real estate transactions, facilitating billions of dollars annually. The company connects homebuyers and sellers with top agents, mortgage solutions, and closing services.
You'll join as a Full Stack Engineer focused on the Direct-to-Consumer (D2C) product, working on AI-native systems where artificial intelligence is embedded into core product design and workflows—not bolted on as an afterthought.
Key Responsibilities:
- Collaborate with engineers, product managers, designers, and cross-functional teams to build scalable, AI-powered product experiences
- Design, implement, and maintain highly scalable backend services using Ruby on Rails
- Build modern, responsive frontend applications using React.js and React Native
- Integrate AI-driven capabilities into business workflows: LLM-powered features, intelligent automation, semantic search, copilots, and workflow agents
- Architect systems combining service-oriented architecture with AI components (model APIs, orchestration layers, evaluation loops)
- Improve code quality through refactoring, automated testing, and deployment automation
- Leverage AI development tools responsibly to increase velocity while maintaining quality standards
- Review code from other engineers, providing thoughtful feedback on performance, scalability, security, and maintainability—including AI-generated code
- Maintain deep understanding of business requirements and partner with stakeholders on scalable solutions
- Collaborate across marketing, platform, DevOps, data, product, and analytics teams
- Use data and experimentation to inform engineering and product decisions
- Monitor production systems, including AI-driven features, using observability and monitoring tools
What Makes This Different:
- AI is embedded in product strategy and engineering culture, not treated as a feature add-on
- 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
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 (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
- Product mindset with ability to balance deterministic software systems and probabilistic AI systems
Bonus:
- 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 Amazon AWS ecosystem
- Experience working in small, fast-moving teams or startups
- Contributions to AI-related side projects, prototypes, or open-source initiatives
