Software Engineer And Senior Software Engineer - Ai Platform

Workday

Toronto, ON, Canada
Base: $140,000 cad - $210,000 cad; bonus/equity: m...
Fully remote
Build and maintain backend services
Develop systems for workflow coordination
Write high-quality, maintainable code in python
We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software!

Job Summary

  • We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software!
  • We build advanced AI solutions that power the core Workday software by modeling user behavior and providing intelligent automation.
  • In this role, you will design and implement backend services, systems, and tooling that support agent-based applications.

Matching Summary

We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software!

Salary

Base: $140,000 CAD - $210,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Build and maintain backend services
  • Develop systems for workflow coordination
  • Write high-quality, maintainable code in Python
  • Deploy and operate services on Kubernetes
  • Contribute to systems for observability
  • Improve system performance
  • Build internal tools and APIs

Nice-to-have

  • Navigate ambiguity and drive projects
  • Strong collaboration and communication skills
  • Experience with agent-based systems
  • Familiarity with LLM application patterns

Key Requirements

  • 3+ years of software development experience (Software Engineer)
  • 5+ years of software engineering experience (Senior Software Engineer)
  • Strong proficiency in Python
  • Experience designing and building distributed systems
  • Experience running and operating services in Kubernetes
  • Familiarity with machine learning or LLM-powered applications
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Work Rights

Not specified

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