Ai Engineer (genai/llmops)

Manulife

Toronto, Canada
Base: $94,430.00 cad - $144,430.00 cad; bonus/equi...
Hybrid
Python programming
Ml/genai model operationalization
Docker and kubernetes/aks
The AI Engineer will join the Group Functions AI team, focusing on designing and shipping production-grade AI services that power Global Risk, Compliance, Legal, Procurement, and emerging GenAI solutions across the enterprise

Job Summary

  • The AI Engineer will join the Group Functions AI team, focusing on designing and shipping production-grade AI services that power Global Risk, Compliance, Legal, Procurement, and emerging GenAI solutions across the enterprise.
  • Position Responsibilities include owning production deployment, standing up production observability for agentic services, and building and maintaining FastAPI-based and RESTful APIs.
  • We’ll empower you to learn and grow the career you want, recognize and support you in a flexible environment where well-being and inclusion are more than just words.

Matching Summary

The AI Engineer will join the Group Functions AI team, focusing on designing and shipping production-grade AI services that power Global Risk, Compliance, Legal, Procurement, and emerging GenAI solutions across the enterprise.

Salary

Base: $94,430.00 CAD - $144,430.00 CAD; Bonus/Equity: Incentive programs and compensation tied to performance; Benefits: Health, dental, mental health, vision, disability, life insurance, retirement savings plans

Skills & Requirements

Must-have

  • Python programming
  • ML/GenAI model operationalization
  • Docker and Kubernetes/AKS
  • CI/CD pipelines
  • LLM observability and evaluation
  • FastAPI and RESTful APIs

Nice-to-have

  • Software craftsmanship
  • Cloud-native engineering
  • Machine-learning know-how
  • Team collaboration
  • Continuous learning

Key Requirements

  • 5+ years delivering high-availability software in Python
  • Proven experience operationalizing ML/GenAI models in cloud environments
  • Hands-on with CI/CD pipelines, tests, and releases
  • Experience operating LLM/agentic workloads
  • Experience building and operating data-driven AI/ML applications
  • Experience deploying and/or fine-tuning LLMs
  • Experience with LLM observability and evaluation frameworks

Work Rights

Not specified

Tailored Resume

Cover Letter