Назад
12 часов назад

Customer Engineer, Agent Builder (AI)

150 000 - 200 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Customer Engineer, Agent Builder (AI): Designing and executing end-to-end AI agent implementations for enterprise customers with an accent on agentic logic, system integrations, and performance evaluation. Focus on optimizing non-deterministic model outputs, building layered guardrails, and architecting scalable API integrations.

Location: Onsite in Toronto, Canada

Salary: CA$150K – CA$200K + Equity

Company

Decagon is a conversational AI platform that empowers brands to deliver concierge customer experiences through advanced AI agents.

What you will do

  • Own end-to-end architecture and execution of AI agent builds, from initial scoping and systems design to production deployment.
  • Engineer core agentic logic and implement layered guardrails to ensure safe, compliant, and predictable performance.
  • Architect and validate integrations with customer systems, including CRMs, data pipelines, and ticketing systems.
  • Interface with senior technical stakeholders to define success criteria and drive delivery against timelines.
  • Design evaluation and regression-testing frameworks to validate agent behavior and prevent performance drift.
  • Collaborate with Engineering and Product teams to surface platform gaps and influence the agent-building roadmap.

Requirements

  • 5+ years of experience in technical customer-facing roles such as solutions engineering or forward-deployed engineering.
  • Native or business-level fluency in both written and spoken English and Spanish is required.
  • Strong technical foundation in writing code, working with APIs, and building end-to-end integrations.
  • Experience delivering production-grade customer solutions requiring structured execution and iterative validation.
  • Must be able to work onsite in Toronto.

Nice to have

  • Experience building with LLMs, AI agents, prompting, and workflow design.
  • Knowledge of enterprise SaaS integrations and associated security/compliance considerations.
  • Degree in Computer Science, Engineering, or Mathematics.
  • Strong product instinct and ability to write clear PRDs.

Culture & Benefits

  • "Take what you need" flexible vacation policy.
  • Comprehensive Medical, Dental, and Vision benefits for employees and their families.
  • Retirement plan (401K/pension), life insurance, and disability benefits.
  • Parental leave and family building support through Carrot.
  • Daily lunches and snacks provided in the office.

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