Senior Founding Engineer - AI Agents at Bot Jobs — NeverHard

Senior Founding Engineer - AI Agents Salary: $120k – $220k CAD 0.25% – 1.5% Job Location: Toronto Experience: 3 years of exp Job Type: Full Time Job Location Toronto Remote Work Policy In office - WFH flexibility Visa Sponsorship Not Available Relocation Allowed Skills Python About the job AI Startup · Toronto, Canada (In-Person downtown Toronto) About Us 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. Role Overview You'll own the AI core of the product: how we ingest, understand, retrieve, and reason over customers' documents. This is where the hardest, most interesting problems live.We're on a modern, lean stack: FastAPI, PostgreSQL, Pydantic-AI, Logfire, AWS, with a React Router / TypeScript frontend. What You'll Do Building a Context/Knowledge Graph around our customers knowledge bases - process messy PDFs, Excels into AI-native context representation Improve on our agent harness - agentic search and any unique tools as part of our platform Build 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 Qualifications Mid-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. Full-time, in-person in downtown Toronto Nice-to-have Qualifications Having any of these is a strong plus — tell us your superpower: Built and evaluated an AI agent / RAG system for real-world performance. Document parsing / OCR / information-extraction experience (PDF, DOCX, tables, layout). Retrieval/search background (embeddings, ranking, vector + keyword hybrid). Comfortable full-stack enough to ship your own features end-to-end. Competitive programmer (e.g. ACM ICPC). What We Offer Competitive salary plus meaningful equity in an early-stage company. A founding-level seat on a 10-person product engineering team with direct influence over architecture and product direction. A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters Learning & Growth stipend Check us out at https://www.tyce.ai/ #J-18808-Ljbffr