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 Do You'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 engaging problems live.

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 rapid.

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.

Nice-to-have Qualifications Having any of these is a robust 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.
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📌 Founding Machine Learning Engineer Toronto
🏢 Tyce
📍 Toronto