Verifast verifies identity, income, and employment for property management, mortgage, and KYC We're hiring an AI Product Engineer to build those solutions. similar tools to turn client problems into working product: agents, automations, internal tools, and customer-facing features. This is a product role first and a building role second. clients and internal teams to understand where the pain actually is, deciding what's worth building and what isn't, shipping it, and measuring whether it worked. The building is what makes the product This is not a research role and it is not a traditional software engineering role.

We care much more about whether you can take a vague, messy business problem and ship something that actually solves technical product manager who learned to build, a support or operations lead who automated their These are real problems on our roadmap, not hypotheticals: Document intelligence.

Pay stubs, bank statements, offer letters, tax transcripts, and benefits letters arrive in every possible format. Build extraction and validation that handles the long tail without a human touching it. We run an AI support assistant and a Zendesk operation with tight SLAs.

Build agents that resolve tickets end to end, enrich them with context from our data, and escalated correctly. Reporting, reconciliation, QA, and data cleanup work that currently consumes analyst time. Automate it.

Decide what's worth building.

Building

Design, build, test, and ship AI-powered features and workflows. Build evaluation sets and test cases so we know whether a solution actually works before it touches a client. Monitor what you ship. 3 or more years in a product role: product manager, technical product owner, product operations, solutions or forward-deployed engineer, or founder.





A track record of shipped work you can point to and explain: what problem it solved, what you decided not to build, how you knew it worked. ~ Experience turning direct customer conversations into product decisions, and comfort saying no to a request when the underlying need is better served another way. ~ Demonstrated ability to build working software with AI assistance. You've shipped something real. ~ Hands-on experience with LLMs beyond casual use: prompt engineering, tool use, chaining, RAG, or agent workflows. ~ Enough technical fluency to work independently: reading and modifying code, understanding APIs and JSON, basic SQL, and using version control. ~ Much of this job is writing clearly, whether that's a prompt, a spec, or an explanation for a client. ~ Comfort with ambiguity and a bias toward shipping.

Experience in PropTech, fintech, identity verification, or another regulated data environment. Familiarity with Snowflake, Python, TypeScript, or React.

Experience building evaluations or QA processes for AI systems. A computer science degree. Years of qualified software engineering experience. Deep infrastructure, DevOps, or distributed systems knowledge. We have engineers for that.

The Technical

Floor up a working application that calls an LLM API, connects to a database, handles errors, and runs If your instinct when something breaks is to read the error, form a hypothesis, and test it, you'll do Instead of a whiteboard interview, we'll give you a real problem from our backlog with sample data VeriFast is headquartered in Toronto, Ontario.

Work Arrangement: This is a full-time position with hybrid or remote work options.

Compensation: $105,000–$120,000 CAD annually, based on experience. Eligible employees receive a health expense reimbursement benefit in accordance with the Company's applicable reimbursement policy. #

📌 AI Product Engineer (Toronto)
🏢 Urban Ridge Supplies
📍 Toronto