Customer Engineer, Agent Builder Toronto, Canada · On-site · 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 #J-18808-Ljbffr

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