We're solving one of the largest problems in the physical world: housing that's too slow and too expensive to build. The $2 trillion construction industry runs on human expertise that doesn't scale - so we're building the AI that understands what to build and how to build it.We start with the costliest problems for general contractors - the multi-million-dollar decisions that Claude cannot solve. Tyce Agent wins more projects and estimates costs on multi-million-dollar builds live at one of the landmark construction companies today.We just closed a 7-figure round and are hiring to build the best AI platform for construction.Competitive salary and equity.What You'll DoYou'll own the AI core of the product - how we ingest, understand, retrieve, and reason over customers' documents. This is the heart of our moat, and it's where the hardest, most interesting problems live.Building a Context/Knowledge Graph around our customers knowledge bases - process messy PDFs,



Excels into AI-native context representationImprove on our agent harness - agentic search and any unique tools as part of our platformBuild the evaluation harness that keeps quality high as we ship fast.Ship latest AI featureas day-to-day alongside the founders and shape the AI roadmap.We're on a modern, lean stack: FastAPI, PostgreSQL, Pydantic-AI, Logfire, AWS, with a React Router / TypeScript frontend.Required QualificationsMid-to-senior level of AI/engineering experience.Strong in Python; comfortable shipping production systems, not just notebooks.Hands-on experience building and evaluating LLM/RAG or ML systems.Go-getter mindset, personal agency, fast learner, excellent verbal and writing skills.Nice-to-have QualificationsHaving any of these is a solid plus — tell us your superpower:Built and evaluated an AI agent / RAG system for real-world performance.Retrieval/search background (embeddings, ranking, vector + keyword hybrid).Comfortable full-stack enough to ship your own features end-to-end. #J-18808-Ljbffr

📌 Founding Machine Learning Engineer (Toronto)
🏢 Tyce
📍 Toronto