Senior or Staff AI Engineer at Homebound

About Us: Homebound is on a mission to make it possible for anyone anywhere to build a home using technology. Created by an experienced team of construction real estate design and technology experts Homebound is transforming the residential construction industry by improving the costly and inefficient process of building a home.Weve created an entirely new way to build homes with technology powering every stage from start to finish to provide a seamless experience for our customers. Homeowners across the country can choose where they want to live select a home plan thats perfect for them then personalize and buy it all online. Homebound has raised $150M in capital from leading venture capitalists like Google Khosla Thrive Ventures and were scaling quickly in places like Texas Colorado and Florida. Come build your future with us.Role Overview:Homebound is seeking an exceptional Senior or Staff level AI Engineer to accelerate our mission of building the leading vertical AI stack for residential construction. Our proprietary platform captures granular data at every stage of the homebuilding process enabling us to develop novel LLM-powered applications that improve efficiency and quality across the board.We are a small fast-moving team with multiple AI products already in production and a rapidly growing GenAI this role you will lead the research and implementation of cutting-edge advancements in AI design and deploy impactful features and collaborate with cross-functional teams to shape the future of homebuilding.What Youll DoShape the vision for how AI/ML particularly LLMs integrate into Homebounds products and operations. Define technical standards for experimentation deployment and evaluation.Design and build scalable AI systems that can handle real-world production workloads and evolve with the business.Deliver high-quality production-grade code daily while ensuring observability maintainability and reliability.Raise the bar across engineering by teaching AI best practices reviewing designs and guiding engineers through complex technical challenges.Stay abreast of the rapidly evolving AI landscape bringing forward cutting-edge ideas while focusing investment where it creates clear business impact.What Youll Bring7 years of professional software engineering experience with a strong focus on AI/ML systems.Shipped LLM-powered features into production including hands-on experience with prompt engineering RAG eval frameworks and agentic workflows.Demonstrated leadership including mentoring teams influencing technical direction and being the go-to problem solver for complex AI challenges.Fluency in Python and experience with core ML/data libraries (e.g. Pandas Scikit-learn PyTorch/TensorFlow Spark).Proven ability to design systems that balance rapid experimentation with long-term reliability and maintainability.Who you are:You take ownership and seek autonomy over your work and outcomes.Youre excited to learn and grow as part of a small nimble high-impact team.You are self-directed comfortable prioritizing your own work with minimal oversight.You communicate clearly and proactivelyespecially in writing.Youre humble good-natured and bring a positive energy to your team.Salary Range:We are hiring for this role at one of the following levels with placement determined by your job-related skills experience and relevant education or training.L4 Senior ML Engineer ($143500 - $196000) L5 Staff ML Engineer ($196000 - $227000)Our Commitment:We are focused on building a diverse and inclusive workforce. If youre excited about this role but do not meet 100% of the qualifications listed above we encourage you to apply please submit an application with your resume on the Careers page. Homebound is an Equal Opportunity Employer and considers applicants for employment without regard to race color religion sex orientation national origin age disability genetics or any other basis forbidden under federal state or local law. Homebound considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.Our Compensation Philosophy:Our salary ranges are determined by role level and location. Please note that the salary range displayed on each job posting may vary by state. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Your recruiter will share more about the specific salary range for your preferred location during the hiring process. Please note that each job posting includes a general description of any other compensation offered for the position in addition to the salary range displayed on the job posting. You can find information about our benefits here.Required Experience:Staff IC Key Skills Computer Science,Docker,Kubernetes,Python,VMware,C/C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1 Monthly Salary Salary: 180 - 230