Founding Engineer (Applied AI)

Role details

ABOUT THE ROLE This is a founding engineering role at an early-stage AI startup transforming the construction pre-construction workflow through automated blueprint understanding and cost estimation. You'll own the intelligence layer — advancing computer vision and AI systems from research to reliable, shipped products that real users depend on. It's a high-impact position on a small, fast-moving team where your work directly shapes the core product. WHAT YOU'LL DO - Drive the intelligence layer of the product, focusing on CV/ML systems rather than application-layer work. - Apply cutting-edge computer vision models, LLMs, and AI systems to real construction workflows. - Ship initial prototypes quickly, then iterate and improve based on direct user feedback. - Coordinate and compose multiple ML models into coherent, production-ready pipelines. - Roll up your sleeves for hands-on, ground-level work — this team embraces "schlep" as part of building early-stage products. WHAT WE'RE LOOKING FOR - Proven 0-to-1 builder with AI systems shipped to production. - Strong applied ML experience, including machine learning, deep learning, and computer vision (object detection a plus). - Proficient in Python and comfortable working across the ML stack. - Growth mindset — values trajectory and continuous learning over prior pedigree. - Communicates with empathy and honesty; proactively flags what's working and what isn't. - Comfortable with ambiguity and repetitive foundational work common at early-stage startups. - US citizenship required (visa sponsorship is not available). - Bonus: background in construction or estimating. - Bonus: prior experience founding or contributing early to a product that attracted real users or paying customers. COMPENSATION & BENEFITS Base salary range: $120,000 – $180,000 USD annually. Equity participation expected at the founding engineer level. No visa sponsorship available. LOCATION On-site, full-time in San Francisco, California, USA. Candidates must be based in SF or willing to relocate.