Customer Engineer, Agent Builder

David Joseph & Company

Toronto

On-site

CAD 150,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Equity

Job summary

David Joseph & Company seeks a Customer Engineer, Agent Builder in Toronto to own end-to-end execution of AI agent builds for enterprise customers—from scoping through launch and iteration.

You'll write and configure core components, validate integrations, and interface with senior technical stakeholders, balancing technical delivery with customer-facing responsibilities in a fast-growing post-sales team.

Qualifications

  • 5–7 years in a technical customer-facing role or equivalent.
  • Strong Python proficiency and API integration experience.
  • Ability to translate requirements into implementation plans for senior technical stakeholders.
  • Experience delivering production-grade customer solutions with structured execution.
  • Clear communicator who can drive delivery across teams.

Responsibilities

  • Own end-to-end AI agent builds for enterprise customers from scoping to launch and iteration.
  • Write and configure core components; validate integrations and agent behavior.
  • Configure and validate guardrails for safe, compliant agent performance.
  • Set up, test, and validate customer integrations (ticketing systems, etc.).
  • Interface with senior technical stakeholders to define success criteria and timelines.
  • Collaborate with Agent PMs, Engineering, Design, and GTM to ensure repeatable builds.

Skills

Python
API integration
Technical communication
Solutions engineering
Customer-facing delivery

Education

Computer Science degree

Tools

REST APIs
Enterprise integrations

Job description

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
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