At a Glance
- Tasks: Own the AI core, build knowledge graphs, and ship innovative features.
- Company: Exciting AI startup tackling big challenges in construction.
- Benefits: Competitive salary, equity, learning stipend, and a collaborative environment.
- Other info: In-person role in downtown Toronto with great career growth opportunities.
- Why this job: Join a founding team and shape the future of AI in construction.
- Qualifications: Mid-to-senior level AI/engineering experience with strong Python skills.
The predicted salary is between 120000 - 220000 $ per year.
Salary: $120k – $220k CAD 0.25% – 1.5%
Job Location: Toronto
Experience: 3 years of experience
Job Type: Full Time
Remote Work Policy: In office - WFH flexibility
Visa Sponsorship: Not Available
Relocation: Allowed
Skills: Python
About the job:
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.
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 features day-to-day alongside the founders and shape the AI roadmap.
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.
Senior Founding Engineer in Toronto employer: Tyce
At Tyce, we are not just building AI; we are revolutionizing the construction industry by tackling its most complex challenges. As a Founding Engineer, you'll join a dynamic and collaborative startup environment in which your contributions directly shape our innovative product and company direction. With competitive salary, equity opportunities, and a close-knit team culture, Tyce offers a unique chance for personal and professional growth while making a meaningful impact in a $17 trillion industry.
