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AI-Native Software Engineer

HomeLightSan Francisco, CA

$140,000 - $160,000 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Compensation
$140,000-$160,000/year
Benefits
Paid Vacation

Job Description

This role is based in San Francisco, CA - Office days are Tue, Wed, and Thur

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.

What You'll Do Here

  • Use and be excited about the future of Software Engineering in the age of emerging AI tools
  • Be willing and excited to work on all aspects of the product development lifecycle, including contributing to design, product management, and software engineering
  • Be a team player, collaborate, and learn from those around you.
  • Design, implement, and maintain highly scalable and performant services.
  • Identify gaps in current codebases and solutions to continually improve coverage on them through refactoring, unit testing, system testing, automating deployment, and operations.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Maintain a clear understanding of business requirements and work closely with stakeholders to understand their needs and the reasons behind them.
  • Work with teams across the organization, including marketing, platform, devops, data, product, and analytics, to think beyond the technical implications of your design decisions.
  • Make smart engineering and product decisions based on data analysis and collaboration.

What You Bring

  • 3+ years of professional software engineering experience building and shipping production applications.
  • Experience with backend development, including at least 1+ year working with Ruby on Rails or similar backend frameworks.
  • Experience building modern frontend applications, including 2+ years working with React, React Native, or similar frameworks.
  • Hands-on experience integrating or building AI-powered features into products or business workflows (e.g., LLM APIs, prompt engineering, RAG pipelines, AI-assisted automation).
  • Familiarity with AI-assisted development tools such as Cursor, GitHub Copilot, or similar tools that enhance developer productivity.
  • Experience designing, building, deploying, and maintaining service-oriented or distributed architectures.
  • Strong experience working with relational and/or non-relational databases.
  • Ability to navigate ambiguous or complex product requirements and translate them into practical engineering solutions.
  • Experience working with cloud infrastructure and observability tools (e.g., New Relic, CloudWatch, Datadog, Sentry, etc.).
  • Strong English communication skills, with the ability to collaborate effectively across technical and cross-functional teams.

Bonus points for

  • Experience with React Native.
  • Exposure to ElasticSearch.
  • Experience working with Docker.
  • Experience working on a small team, ideally at a startup.
  • Familiarity with the Amazon AWS ecosystem.

 The base pay range for this role is $140,000.00 – $160,000.00, and will vary depending on factors such as the position level, geographic location, relevant experience and qualifications, market conditions, and internal business needs. Final base pay is determined through our leveling process during the interview stages.

In addition to base pay, this role is eligible to participate in HomeLight’s equity program, along with a comprehensive benefits package. Total compensation will reflect the combination of base salary, equity, and benefits, and may vary based on level and individual factors.

Let’s chat! 

HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request, and any accommodation will be addressed confidentially.

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FAQs About AI-Native Software Engineer Jobs at HomeLight

What is the work location for this position at HomeLight?
This job at HomeLight is located in San Francisco, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at HomeLight?
Candidates can expect a pay range of $140,000 and $160,000 per year.
What employment applies to this position at HomeLight?
HomeLight lists this role as a Full-time position.
What experience level is required for this role at HomeLight?
HomeLight is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at HomeLight?
You can apply for this role at HomeLight either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.