обновлено 7 дней назад
AI Engineer
180 200 - 270 200CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLM/RAG): Building production-grade machine learning systems and intelligent agents for Workday’s platform with an accent on LLM frameworks, RAG pipelines, workflow orchestration, and scalable model serving. Focus on designing agent reasoning and orchestration layers, deploying observable systems, and solving complex reliability and evaluation challenges at global scale.
Location: Vancouver, British Columbia, Canada. Hybrid Flex Work requires spending at least 50% of each quarter in the office or in the field with customers, prospects, and partners.
Base pay range: CAD 180,200–270,200 for the primary Vancouver location; the primary Canada base pay range is CAD 138,000–208,000.
Company
is a Fortune 500 company developing an AI platform for managing people, money, and intelligent agents.
What you will do
- Design and build core machine learning systems for production-grade AI agents.
- Develop LLM-powered agent frameworks, including RAG pipelines, workflow orchestration, evaluation, and feedback loops.
- Own the lifecycle from problem framing and data strategy through deployment, monitoring, and continuous improvement.
- Build scalable and observable services for hosting machine learning models in production.
- Partner with software engineers, product managers, and data scientists to integrate agents into the platform.
- Apply emerging agentic architecture techniques to create reliable, explainable, and enterprise-ready systems.
Requirements
- 5+ years of experience building and taking applied machine learning products through research, design, implementation, production, and production-based evaluation.
- 2+ years of professional experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.
- 3+ years of experience building services that host machine learning models in production at scale.
- 1+ year of experience with large language models, text generation models, or graph neural network models in real-world applications.
- 3+ years of experience with cloud computing platforms such as AWS or GCP.
- Bachelor’s degree in engineering, computer science, physics, mathematics, or an equivalent field; a Master’s degree or PhD is preferred.
Nice to have
- Experience with AI, LLMs, RAG, autonomous agents, and orchestration frameworks.
- Strong knowledge of statistical analysis, supervised and unsupervised machine learning, and natural language processing for information retrieval or recommendation systems.
- Experience independently solving ambiguous problems and technically leading teams.
- Excellent interpersonal and communication skills across teams and stakeholders.
Culture & Benefits
- Work in a small, senior, cross-functional AI team with end-to-end ownership.
- Flexible hybrid work with at least 50% of each quarter spent in the office or in the field, depending on the role.
- Potential eligibility for the Bonus Plan or a role-specific commission or bonus.
- Potential eligibility for annual refresh stock grants.
- Reasonable accommodations are available during the application and employment process.
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