Назад
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2 дня назад

Sr AI Engineer

169 000 - 253 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Sr AI Engineer (AI/LLM): Designing and integrating production-grade intelligent agents into Workday’s enterprise platform with an accent on agentic orchestration, responsible AI, and reliable product delivery. Focus on multi-agent architectures, advanced RAG pipelines, model evaluation, and solving latency, cost, privacy, predictability, and explainability constraints.

Location: Vancouver, British Columbia, Canada; Flex Work with at least 50% of each quarter spent in the office or in the field with customers, prospects, and partners, depending on the role.

Annual base salary: CAD 169,000–253,000 for the primary and additional Canadian locations. The role may also include a bonus or commission plan and annual refresh stock grants.

Company

hirify.global is a Fortune 500 company and AI platform for managing people, money, and intelligent agents.

What you will do

  • Lead end-to-end system design, architectural frameworks, and product integration for next-generation intelligent agents.
  • Design, experiment with, and orchestrate complex agentic workflows that connect foundational AI models to enterprise products.
  • Architect robust application layers around AI models, including predictable behavior, error handling, and seamless user experience integration.
  • Integrate AI capabilities into production-grade software handling sensitive HR and financial data at global scale.
  • Implement responsible and governed AI through privacy guardrails, security layers, evaluation mechanisms, predictability, and explainability.
  • Lead cross-functional pods, mentor senior engineers, and guide products from concept through deployment.

Requirements

  • 10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design, plus 2+ years building production-grade LLM or agentic systems; OR 7+ years in Machine Learning Engineering or AI application development, with 3+ years shipping LLM-backed products.
  • 3+ years of hands-on experience integrating LLMs, foundation models, and modern AI APIs into user-facing enterprise products.
  • 2+ years designing and scaling complex AI orchestration architectures, including multi-agent frameworks, routing layers, and advanced RAG pipelines.
  • 6+ years optimizing application performance, including API latency and user interaction design, with 2+ years addressing LLM constraints such as token management, cost optimization, and context-window efficiency.
  • 6+ years using cloud computing platforms such as AWS or GCP to deploy highly responsive, scalable systems.
  • Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field.
  • Deep understanding of governance, guardrails, security layers, and evaluation mechanisms for autonomous agents operating on sensitive enterprise HR and financial data.
  • Proven technical leadership of cross-functional pods, senior-engineer mentoring, and product development from abstract concept to deployment.
  • Expert-level system design and integration skills, rapid prototyping, model-output benchmarking, continuous experimentation, product-focused AI thinking, and the ability to turn open-ended goals into scalable engineering solutions.

Nice to have

  • Master’s degree in Computer Science, Software Engineering, or an equivalent technical field.

Culture & Benefits

  • Flex Work combines in-person and remote work, with at least half of each quarter spent in the office or in the field depending on the role.
  • Remote home-office roles may come together in company offices for important moments.
  • Potential eligibility for the hirify.global Bonus Plan or a role-specific commission or bonus.
  • Annual refresh stock grants and comprehensive company benefits.
  • Equal opportunity employment and reasonable accommodations during the application process.

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