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7 дней назад

Founding AI Systems Engineer (AI)

132 000 - 156 750CAD
Формат работы
onsite
Тип работы
fulltime
Английский
b2
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

Founding AI Systems Engineer (AI): Building systems that connect AI capability development to production reality, including packaging artifacts, deployment pathways, evaluation frameworks, and runtime observability with an accent on reproducibility, rollout safety, and evidence-based decisions. Focus on enabling faster, safer shipping of in-house AI capabilities across the AI Platform organization.

Location: Kitchener, Canada

Salary: $132,000 - $156,750 CAD (Ontario)

Company

hirify.global is the AI-native business communications platform unifying calling, messaging, meetings, and contact center powered by real-time AI insights for agentic AI that automates workflows and accelerates revenue.

What you will do

  • Design, build, and improve systems for packaging, versioning, promoting, and rolling back AI model artifacts.
  • Develop deployment and release pathways for AI-backed services with shadow-serving and staged rollouts.
  • Strengthen runtime behavior, observability, and debugging for model-backed systems.
  • Build and automate evaluation systems for evidence-based release decisions.
  • Reduce bespoke coordination by strengthening shared rails for multiple AI teams.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • 2 to 6 years of professional software engineering experience shipping production infrastructure.
  • Strong software engineering fundamentals for maintainable code and complex debugging.
  • Experience in ambiguous, cross-functional environments with evolving requirements.
  • Expertise in reproducibility, operability, rollout safety, and quality-focused changes.

Nice to have

  • Experience with cloud infrastructure, containerized environments, or ML platforms.
  • Model serving, deployment systems, experiment tracking, or ML lifecycle tooling.
  • Distributed systems, service platforms, or production AI platforms.
  • Testing, benchmarking, or evaluation frameworks for release decisions.
  • Exposure to applied AI, speech, or conversational systems.

Culture & Benefits

  • Work at the center of AI transformation in business communications with agentic AI products.
  • Competitive salary, comprehensive benefits, equity, and growth opportunities.
  • AI tools for every employee, robust training program, and inclusive offices.
  • Great Place to Work certified culture emphasizing scrappy, curious, optimistic, persistent, empathetic traits.

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