Senior Founding Engineer
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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/
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