This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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 platform. In 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.
Job Responsibility:
Shape the vision for how AI/ML, particularly LLMs, integrate into Homebound’s 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
Requirements:
7+ 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
Nice to have:
You take ownership and seek autonomy over your work and outcomes
You’re 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 proactively—especially in writing
You’re humble, good-natured, and bring a positive energy to your team