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)
- Robust 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 (Toronto)
🏢 David Joseph
📍 Toronto