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David Joseph & Company

Customer Engineer, Agent Builder

Toronto, ON, CAIndividual contributor$150k–$200kvia jobspy_indeed
pythongollm

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**Customer Engineer, Agent Builder** ====================================

**Toronto, Canada · On\-site · Full\-time**

**Compensation:** $150,000–$200,000 \+ equity

**About the Company**

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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**

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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**

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* 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**

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* 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**

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* 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**

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* 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**

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* **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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