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Esko

Packaging design and print automation platform

Staff AI Engineer

AI Application EngineeringPosted on Nov 10
Full-timeRemote in Canada

About the Job

Requirements

  • Substantial experience delivering production software, including technical leadership across teams and ownership of complex initiatives from architecture through ongoing operation.
  • Hands-on experience building and operating large language model-based and agentic systems, including tool use, orchestration, retrieval, evaluation, and agentic harnesses.
  • Strong software engineering expertise in API and system design, data modeling, automated testing, code review, continuous integration and continuous delivery, observability, and secure development, with production proficiency in Python or C#.
  • Experience deploying cloud services and integrating enterprise APIs and data while managing reliability, security, performance, and operating cost.
  • A bachelor's degree in a relevant technical field or equivalent practical experience.
  • Ability to travel occasionally for department meetings, company events, seminars, or networking events.

Responsibilities

  • Shape the AI roadmap with product and engineering leaders, make architectural decisions, resolve cross-team dependencies, and connect technical choices to measurable business value.
  • Lead hands-on development of agents, tool integrations, retrieval systems, and AI-enabled workflows connected to enterprise APIs and data, from discovery and prototyping through deployment, monitoring, and improvement.
  • Design evaluation datasets, baselines, and controlled experiments that measure quality, reliability, latency, cost, and user outcomes, then use the evidence to decide what to scale, revise, or stop.
  • Establish repeatable agentic software development practices, shared tooling, reference architectures, and deployment patterns for evaluation, versioning, observability, staged releases, rollback, security, privacy, and incident response.
  • Mentor engineers through design and code reviews, documentation, and training on AI-assisted development, generated-code validation, test coverage, maintainability, and responsible human oversight.
  • Partner with engineering, legal, compliance, and security leaders to manage AI economics, translate relevant regulations and standards into engineering practices, and implement responsible AI controls and audit evidence.

Desired Qualifications

  • Experience delivering AI-enabled enterprise SaaS products, particularly on Microsoft Azure.
  • Experience creating shared AI platforms, evaluation infrastructure, or internal developer tooling used by multiple teams.
  • Familiarity with enterprise data governance and compliance requirements.
  • Food, beverage, or supplements industry experience.

About the Company

Esko

Packaging design and print automation platform

Esko provides integrated software and hardware solutions that speed up the go-to-market process for packaged goods. Its products help teams manage and streamline packaging design and print workflows for brand owners, retailers, pre-media, trade shops, manufacturers, and converters. The core offering is an integrated platform and portfolio of tools that automate, connect, and accelerate concept-to-market activities across the packaging design, artwork, approval, and print production stages. Esko differentiates itself by delivering a global, end-to-end solution that combines software and hardware across multiple partners and stakeholders, rather than offering isolated tools. The company aims to provide an end-to-end, integrated platform and portfolio that automates and connects packaging workflows to bring products to market faster.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Ghent, Belgium
Founded
1975

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