Mid/senior Software Engineer (gen Ai)

Workday

Boulder, CO, USA
Base: $171,600 - $257,400 usd (primary location); ...
Fully remote
Ai/ml engineering
Python with ml/ai libraries
Java object oriented programming
Workday is a Fortune 500 company and a leading AI platform shaping the future of work with a culture rooted in integrity, empathy, and shared enthusiasm

Job Summary

  • Workday is a Fortune 500 company and a leading AI platform shaping the future of work with a culture rooted in integrity, empathy, and shared enthusiasm.
  • The AI/ML Engineer will lead the design and development of intelligent agentic workflows that transform financial planning for thousands of global enterprises.
  • Workday offers flexible work arrangements combining remote and in-person time, a comprehensive benefits package, and a supportive environment invested in long-term employee growth.

Matching Summary

Workday is a Fortune 500 company and a leading AI platform shaping the future of work with a culture rooted in integrity, empathy, and shared enthusiasm.

Salary

Base: $171,600 - $257,400 USD (Primary Location); Base: $163,000 - $288,000 USD (Additional US Locations); Bonus/Equity: Eligible for bonus and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • AI/ML engineering
  • Python with ML/AI libraries
  • Java object oriented programming
  • SaaS software development
  • Large language models and transformers
  • Cloud computing platforms
  • Containerization technologies

Nice-to-have

  • Technical leadership
  • Cross-functional collaboration
  • Mentorship and code reviews
  • Product mindset
  • Focus on test automation and performance engineering
  • Balancing speed with quality

Key Requirements

  • 4+ years data science or ML software development
  • 4+ years Python with ML/AI libraries experience
  • 4+ years Java programming experience
  • 5+ years SaaS software development experience
  • Bachelor's degree in Computer Science, Mathematics, or Engineering
  • Experience with large language models and RAG systems
  • Experience with cloud platforms and containerization
  • Experience deploying ML solutions with large-scale datasets

Work Rights

Not specified

Tailored Resume

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