
Full Stack Engineer (D2C), San Francisco, CA
About this role
This Full Stack Engineer (D2C) position at HomeLight in San Francisco is an exciting opportunity for a product-minded technologist to build intelligent systems that transform real estate. It suits engineers with experience in Ruby on Rails, React, and AI-driven features who thrive in fast-paced environments.
Role Overview
HomeLight is seeking a Full Stack Engineer to join the direct-to-consumer engineering team in San Francisco, CA. In this role, the engineer will design, build, and scale intelligent products that embed artificial intelligence deeply into the user journey. The position involves collaborating with product managers, designers, and cross-functional partners to deliver scalable backend services and responsive frontend applications.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
HomeLight is a technology platform utilized by homebuyers and sellers to connect with real estate agents, secure competitive mortgages, and manage real estate transactions. The company aims to make every real estate transaction simple, certain, and satisfying. HomeLight is an equal opportunity employer committed to building an inclusive and diverse workforce free of discrimination and harassment.
How to Apply
Interested candidates should visit the official HomeLight careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
What is the salary range for the Full Stack Engineer role?
The base pay range is $140,000.00 to $160,000.00, depending on factors such as qualifications, location, and the leveling process.
Where is this job located?
This position is located in San Francisco, CA.
What technical experience is required?
Candidates must have at least 2 years of professional software engineering experience, including 2 years of production experience with Ruby on Rails and 2 years of experience with React.js or React Native.
Is AI experience necessary for this position?
Yes, applicants need hands-on experience integrating or building AI-powered features into business workflows, such as LLM integrations or AI-assisted user experiences.
What tools and technologies are mentioned as nice to have?
Bonus skills include AWS, Docker, Elasticsearch, vector databases, React Native, and experience working in fast-moving startup environments.