At a Glance
- Tasks: Build AI solutions to solve real client problems and automate workflows.
- Company: Join a forward-thinking company revolutionizing identity verification in Canada and the US.
- Benefits: Competitive salary, health reimbursement, and flexible remote work options.
- Other info: Dynamic environment with opportunities for growth and hands-on experience with cutting-edge AI technology.
- Why this job: Make a tangible impact by transforming messy business challenges into innovative products.
- Qualifications: 3+ years in product roles with strong problem-solving and software building skills.
The predicted salary is between 105000 - 120000 $ per year.
Verifast verifies identity, income, and employment for property management, mortgage, and KYC clients across the US and Canada. A large amount of what we do involves judgment calls on messy documents, edge-case applicant situations, and client-specific rules. Much of that work can now be built rather than staffed. We're hiring an AI Product Engineer to build those solutions. You will work primarily with Claude and similar tools to turn client problems into working products: agents, automations, internal tools, and customer-facing features.
This is a product role first and a building role second. You will own problems end to end: talking to 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 work possible, not the other way around.
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 it than about whether you can pass a systems design interview. The best person for this job might be a technical product manager who learned to build, a support or operations lead who automated their own function, a founder whose startup didn't work out, or a self-taught engineer with unusually good product instincts.
What you'll build:
- Document intelligence: Build extraction and validation that handles the long tail without a human touching it.
- Support automation: Build agents that resolve tickets end to end, enrich them with context from our data, and escalate correctly.
- Client-facing workflows: Build tools that compress repetitive review work into minutes.
- Internal leverage: Automate reporting, reconciliation, QA, and data cleanup work that currently consumes analyst time.
- Solutioning for clients: Scope it, prototype a solution, and get it in front of them quickly.
Responsibilities:
- Own problems end to end, from discovery through launch and iteration.
- Run discovery directly with clients, Client Success, Support, and Operations.
- Decide what's worth building and write clear specs and requirements.
- Define what success looks like before you build, in numbers.
- Contribute to roadmap and prioritization discussions.
- Design, build, test, and ship AI-powered features and workflows.
- Build evaluation sets and test cases.
- Prototype fast and iterate in front of real users.
- Monitor what you ship and improve it.
What we're looking for:
- 3 or more years in a product role.
- A track record of shipped work you can point to and explain.
- Strong product judgment.
- Experience turning direct customer conversations into product decisions.
- Demonstrated ability to build working software with AI assistance.
- Structured, logical thinking.
- Hands-on experience with LLMs beyond casual use.
- Enough technical fluency to work independently.
- Excellent written communication.
- Comfort with ambiguity and a bias toward shipping.
Preferred:
- B2B SaaS product experience.
- Experience in PropTech, fintech, identity verification, or another regulated data environment.
- Familiarity with Snowflake, Python, TypeScript, or React.
- Experience working alongside design.
- Experience building evaluations or QA processes for AI systems.
Not Required:
- A computer science degree.
- Years of professional software engineering experience.
- Deep infrastructure, DevOps, or distributed systems knowledge.
The Technical Floor: You don't need to be able to architect a platform from scratch, but you do need to be able to build and debug independently.
How we'll evaluate: Instead of a whiteboard interview, we'll give you a real problem from our backlog with sample data and ask you to build something over a few days.
Compensation, Benefits & Work Arrangement:
- Location: 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.
- Health & Wellness: Eligible employees receive a health expense reimbursement benefit.
AI Product Engineer in Toronto employer: Urban Ridge Supplies
Verifast is an exceptional employer that fosters a dynamic work culture where innovation meets collaboration. As an AI Product Engineer, you'll have the opportunity to tackle real-world challenges while working in a supportive environment that values your input and encourages professional growth. With flexible hybrid or remote work options and a competitive compensation package, Verifast is committed to ensuring that employees thrive both personally and professionally in the vibrant city of Toronto.
