AI Software Engineer

People were meant to talk, not type. And when customers have problems, they want answers now – not after waiting on hold during the 40 hours a week businesses are actually open.

We're building digital employees for service businesses that talk to customers and solve problems. The AI customer service market in our verticals (home services, automotive, property management) is a multi-billion dollar opportunity with less than 1% SMB penetration. The next 2-3 years will determine market leaders. We intend to be one of them.

We've raised $1M+ from operators who've built at scale:
Jason Warner (Poolside CEO, ex-Git Hub CTO), Lorrie Norrington (ex-eBay President, Hub Spot Chair), and LOI VC (Ryan Holmes, Hoot Suite CEO), among others. We began by bootstrapping and have been generating revenue since day one.

You'll own large, ambiguous problems and ship and maintain production voice AI systems used daily by businesses across North America. You'll work directly with the leadership team on both the product and the technical foundations as we scale.

We're building out our Vancouver headquarters and growing an AI-native team here. You'll be one of our earliest engineering hires in the city, with real ownership, impact, and close connectivity to all critical aspects of the business.

• Architect and ship new capabilities for our voice agents
• Improve conversation quality, latency, and reliability across the stack
• Integrate with CRMs and business systems
• Expand the surface area of what our agents can do for customers

• You build things and ship them. You have strong, well-formed opinions about LLMs and the tools you use to work with them.
• You're comfortable with ambiguity and don't wait for someone to hand you a spec.

• Experienced with object-oriented development (e.g. Python)
• LLM experience - prompting, model selection, working with APIs
• Experience with cloud systems (e.g. AWS, GCP)

$80k - $110k CAD

• Workflow orchestration (e.g. Step Functions, n8n)
• Voice AI or telephony exposure

• True ownership over core architecture and product
• Direct collaboration with leadership team who have deep domain expertise in both AI and service businesses
• Equity potential for exceptional contributors