Customer Engineer, Agent Builder Toronto, Canada · In office · Full-time
Compensation: $150,000–$200,000 + equity
About the Company We're a leading conversational AI platform that helps brands deliver concierge-level customer experiences, with AI agents deployed across voice, chat, email, SMS, and more. Our agents run live at scale with major enterprise customers, and we're backed by top-tier venture investors. Our Agent Builder team is small and growing fast, working one-to-one with our largest strategic accounts.
Founded 2023 · 201–500 people · Industry: Consumer Tech / Conversational AI
The Role Own the end-to-end execution of AI agent builds for enterprise customers — from scoping through launch and iteration. This is a highly technical delivery seat: you'll write and configure core components, validate integrations, and interface directly with senior technical stakeholders on the customer side. The build-versus-customer split is dynamic, generally landing near 50/50 to 60/40 technical-to-customer-facing.
What you'll be doing
End-to-end execution of AI agent builds for enterprise customers, from scoping through launch and iteration
Write and maintain key agent-building artifacts; configure agent behavior for quality, reliability, and business outcomes
Configure and validate guardrails for safe, compliant, predictable agent performance
Set up, test, and validate customer integrations (ticketing systems and comparable), building any tools or workflows needed
Interface directly with senior technical stakeholders to define success criteria and drive delivery against timelines
Partner closely with Agent PMs, Engineering, Design, and GTM to deliver consistent, repeatable agent builds
Tech stack: Python (hard requirement); REST APIs and enterprise integrations; LLM / AI-agent tooling (prompting, evaluation, guardrails, workflow design)
Requirements 5–7 years of experience in a technical customer-facing role (solutions engineering,



forward-deployed engineering, technical consulting, implementation engineering, technical PM, or comparable)
Strong Python proficiency (hard requirement)
API integration experience end to end — comfortable writing code, working with APIs, and building or validating integrations
Experience delivering production-grade customer solutions requiring structured execution, testing, and iteration
Clear communicator who can translate requirements into implementation plans and drive delivery with senior technical stakeholders
Green Flags Software engineering background with a genuine, demonstrated pull toward customer-facing work
Started in software engineering or forward-deployed engineering, then pivoted toward customer-facing technical delivery
Strong quantitative or Computer Science degree from a well-regarded program
Comfortable owning both the technical build and the customer relationship without needing the two responsibilities split apart
Post-sales orientation and interest, since this role sits exclusively on the post-sales side
Red Flags Background as an IT manager or in IT operations without transferable hands-on technical build experience
Currently at Cognition or Sierra
Currently at C3 AI or Amazon
Interested only in pre-sales work; this role's lane is exclusively post-sales
Career built entirely in a single large enterprise without independent technical delivery signal
Why Join Category-leading conversational AI platform, live at scale with major enterprise customers and backed by top-tier investors
High-ownership, end-to-end delivery seat with direct exposure to senior technical stakeholders
Small, fast-scaling Agent Builder team working one-to-one with the company's largest strategic accounts
Details Location — Toronto, Canada
Work policy — In-office, five days a week
Compensation — $150,000–$200,000 + equity
Work authorization — Must be legally authorized to work in Canada
Employment type — Full-time

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📌 Customer Engineer, Agent Builder (Ontario)
🏢 David Joseph
📍 Ontario