AI Platform Engineer

About the Job: We’re looking for a hands-on AI
Platform Engineer to build and operate production-ready LLM agent systems and
anomaly detection tools. You’ll own solutions from design through deployment
and monitoring, apply practical AI governance, and identify opportunities to
improve how engineering and operations teams work.

Office Location: Toronto

Employment Type: Permanent

Role Type: New position – current requirement

Work Arrangement: Hybrid (2 days in office)

Position Responsibilities:

• Design, build, and operate LLM agent systems
  using Google ADK or a comparable framework such as LangGraph, CrewAI, AutoGen,
  or OpenAI Agents SDK.
  
• Own delivery end to end, including architecture,
  coding, containerization, CI/CD, deployment to Kubernetes or cloud
  infrastructure, and post-launch monitoring.
  
• Build agent tools as MCP servers and integrate
  with REST APIs.
  
• Address production concerns such as tool
  timeouts, oversized responses, retries, and token costs.
  
• Develop or improve time-series forecasting and
  anomaly detection using production metrics, such as Prometheus or Grafana data.
  
• Tune detection thresholds against real incidents
  and balance false positives against missed alerts.
  
• Use AI coding tools such as Claude Code, Cursor,
  or Copilot regularly as part of daily engineering work.
  
• Extend AI coding tools for team use through
  plugins, skills, slash commands, hooks, or MCP integrations.
  
• Review and verify AI-generated code before it
  ships.
  
• Apply safeguards to AI systems, including
  code-enforced access controls, PII and secrets handling, audit logging, cost
  limits, and model output evaluation.
  
• Work with security and compliance teams through
  internal review processes.
  
• Identify
  opportunities by observing how engineering and operations teams work, then
  prototype and deliver tools that people adopt.
  

Requirements

Required Qualifications:

• Bachelor’s degree in Computer Science,
  Engineering, or related field (or equivalent experience).
  
• 4+ years of experience shipping LLM agent system
  to production within a company.
  
• End-to-end experience with a production agent
  system, including architecture, implementation, deployment through CI/CD to
  Kubernetes or cloud, and monitoring after launch.
  
• Experience building agent tools as MCP servers
  and integrating with REST APIs.
  
• Understanding of production issues such as tool
  timeouts, oversized responses, retries, and token cost management.
  
• Hands-on experience with time-series forecasting
  or anomaly detection on real production metrics.
  
• Experience tuning alert thresholds against real
  incidents and managing the trade-off between false positives and missed alerts.
  
• Regular use of AI coding tools as part of daily
  engineering work, with a disciplined approach to reviewing and validating
  generated code.
  
• Practical experience making AI systems safe for
  enterprise use, including access controls enforced in code, PII and secrets
  handling, audit logging, cost limits, and model evaluation.
  
• Comfort working within security and compliance
  review processes.
  

Preferred Qualifications:

• Experience extending AI coding tools for a team
  through custom plugins, skills, slash commands, hooks, or MCP integrations.
  
• Experience deploying and monitoring
  containerized services on Kubernetes or a cloud platform.
  
• Strong software engineering practices, including
  testing, observability, CI/CD, and production support.
  
• Ability to explain technical decisions and
  operational trade-offs to engineering, operations, and security stakeholders.
  

Benefits

Salary Range: CAD$ 90,000 - 100,000

The final compensation offered will depend on local market
conditions and geographic location, as well as job-related factors such as the
candidate’s knowledge, skills, qualifications, relevant experience, and
education/training. Compensation may also include additional components such as
benefits, and/or other incentives, where applicable. In accordance with new
employment standards requirements, we retain copies of this job posting and
applicant information for three (3) years after the posting is removed. We do
not use AI technology; all applications are also reviewed by our recruitment
team.