2 hours ago
Remote, CanadaSenior
Responsibilities
- Lead the architecture and implementation of large-scale, production-grade distributed systems powering AI features.
- Own architecture decisions, distributed-systems strategy, service and pipeline reliability, and technical debt across the AI Products estate.
- Build interfaces and operational harnesses that safely transition machine learning models from research into production.
- Design scalable infrastructure for generative AI features and integrate production-ready Large Language Model technologies into product features.
- Operate production services and pipelines, including on-call participation, incident response, and long-term service ownership.
- Mentor junior engineers, champion engineering excellence, and collaborate with scientists, engineers, product managers, analysts, and teams across Xero.
Requirements
- At least 5 years of experience building and operating production Python or equivalent-language services at scale.
- Strong software engineering, system design, and coding proficiency.
- Experience owning production services or pipelines, including operational responsibility, on-call work, incident response, and technical debt management.
- Deep understanding of distributed processing principles and strong SQL capabilities.
- Experience integrating machine learning models or LLM-based features into production systems.
- Familiarity with MLFlow, TensorFlow, PyTorch, Airflow, or Prefect is valued.
- Experience applying or fine-tuning LLMs in a product context is a preferred qualification.
Benefits
- Flexible hybrid work model in Toronto with office days and collaborative boost days.
- CAD $185,000–$225,000 annual base salary range, plus eligibility for annual bonus and equity programs for permanent employees.
- World-class health, wellness, and retirement programs.
- Wellbeing days, generous leave, and dedicated professional development budgets.
Tech Stack
Categories
About Xero
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