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Dialpad Logo Dialpad · IT - Software Development

Ai Systems Engineer

Canada, Kitchener Employment contract 111000.00 - 133500.00 CAD / Year · Job Posted May 29, 2026
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Job Description

We are hiring founding AI Systems Engineers to help build that machinery. This role is for engineers who like consequential junctions: between training outputs and deployable artifacts, between runtime systems and safe release, between quality claims and evidence, and between ambitious AI plans and systems that can actually carry them. This is not a research role, and it is not a generic support role. It is an implementation-heavy, building-focused engineering role on a small team responsible for making in-house AI capabilities easier to package, evaluate, deploy, promote, operate, and improve.

Job Responsibility

  • Help design, build, and improve the systems that connect AI capability development to production reality
  • Improving how model and capability artifacts are packaged, versioned, promoted, and rolled back
  • Building or improving deployment and release pathways for AI-backed services
  • Enabling shadow-serving, staged rollout, and candidate-versus-incumbent comparison
  • Strengthening runtime behavior, observability, and debugging for model-backed systems
  • Building or automating evaluation systems that make release decisions evidence-based
  • Reducing bespoke coordination and strengthening the shared rails used by multiple AI teams

Requirements

  • Bachelor's degree in Computer Science, Engineering, or equivalent related experience
  • 2 to 6 years of professional software engineering experience, with a proven track record of shipping production infrastructure or real systems that matter
  • Experience in writing solid, maintainable production code and applying strong software engineering fundamentals to solve complex debugging challenges
  • Experience in operating within ambiguous, cross-functional environments where requirements evolve and interfaces are real
  • Expertise in building for reproducibility, operability, and rollout safety, focusing on the quality of change rather than just local implementation

Nice to have

  • Experience with cloud infrastructure, containerized environments, managed ML platforms, or service orchestration systems
  • Experience with model serving, deployment systems, experiment tracking, artifact/version management, or ML lifecycle tooling
  • Experience with distributed systems, service platforms, search/relevance systems, internal enablement tooling, or production AI platforms
  • Experience with testing, benchmarking, experimentation systems, or evaluation frameworks that informed release decisions
  • Exposure to applied AI, speech, conversational systems, customer-facing workflows, or other production ML domains

What we offer

  • Competitive salary
  • Comprehensive benefits
  • Real opportunities for growth
  • Cutting-edge AI tools
  • Robust training program
  • Inclusive office environment
  • Great Place to Work culture
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