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 - Explicit 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

📌 Customer Engineer, Agent Builder (Toronto)
🏢 David Joseph u0026
📍 Toronto