Senior Founding Engineer

3 days ago

Toronto ON, Toronto Census Division, ON; Ontario, Canada Tyce Full-time €120,000 - €220,000 Temporary
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

#J-18808-Ljbffr