Cracked AI Engineer

Tyce; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity

Job summary

Tyce is building the AI platform for construction in Toronto. You will own the AI core—how we ingest, understand, retrieve and reason over customers' documents to win projects and estimate costs for multi-million-dollar builds.

You will work with a lean stack (FastAPI, PostgreSQL, Pydantic-AI, Logfire, AWS) and a React/TypeScript frontend, collaborating with founders to shape the AI roadmap and ship features daily.

Qualifications

• Mid-to-senior level AI/engineering experience.
• Strong in Python; comfortable shipping production systems.
• Hands-on experience building and evaluating LLM/RAG or ML systems.
• Fast learner with excellent verbal and writing skills.

Responsibilities

• Own the AI core of the product - ingestion, understanding, retrieval, and reasoning over customer documents.
• Build a Context/Knowledge Graph around customer knowledge bases - process messy PDFs and Excels into AI-native context.
• Improve the agent harness and any unique tools as part of the 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.

Skills

Python

AI/ML engineering

LLM / RAG

Verbal & written communication

Tools

FastAPI

PostgreSQL

Pydantic-AI

Logfire

AWS

React / TypeScript

Job description

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 interesting 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 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.

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.
• Retrieval/search background (embeddings, ranking, vector + keyword hybrid).
• Comfortable full-stack enough to ship your own features end-to-end.