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Added 12 mins ago
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Cloud Platform Engineer
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating…
Added 1 hour ago
AI
GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Design and implement GKE/Kubernetes-based container platforms.
Added 4 hours ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Added 4 hours ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Kubernetes, Terraform, GitHub Actions, GCP, Azure
Added 4 hours ago
JG
Application Release Engineer
J&M Group
Toronto, ON
- Contract
Kubernetes, Terraform, GitHub Actions, GCP, Azure
Added 4 hours ago
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Application Release Engineer
Galent
Toronto, ON
- Contract
Added 4 hours ago
SI
DevOps Engineer
Spait Infotech
Canada
- Full-time
Use Docker to containerize applications and Kubernetes to orchestrate containers.
Added 6 hours ago
IG
Network Operations Engineer
Insight Global
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
As a Platform Engineer, Network Operations you will design and build internal developer platforms and core infrastructure independently that enable engineering velocity and operational…
Added 6 hours ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.
Added 6 hours ago
B
Software Engineer - Infrastructure
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 6 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.
Added 6 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 6 hours ago
B
Cloud Platform Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating…
Added 6 hours ago
B
Software Engineer - Infrastructure
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 6 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 6 hours ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.
Added 6 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.
Added 7 hours ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 7 hours ago
DL
Kubernetes Engineer (Container Security)
Diverse Lynx
ON · Ontario, Canada
- Contract
7+ years of experience with container technologies such as Kubernetes, Google Kubernetes Engine (GKE) GDC, AKS, Docker, Podman.
Added 7 hours ago
HB
Platform Engineer - Reliability - Elite FinTech - $125,000-$225,000 CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
Skills: Linux, Chef, Puppet, Ansible, Kubernetes, Docker, CI/CD, Python
Added 8 hours ago
I
AI Platform Engineer
Infoya
Toronto, ON
- Full-time
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…
Added 8 hours ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
● Containerization & Orchestration: Strong proficiency with Docker, docker-compose, and Kubernetes to deploy scalable sandbox services.
Added 8 hours ago
Senior Software Engineer - Networking
Tigera
Vancouver, BC
From modern cloud-native architectures to cutting-edge AI agent ecosystems, our technology safeguards over 1 million Kubernetes clusters across multicloud and hybrid environments. Trusted…
Added 8 hours ago
A
Salesforce Devops Lead
ATB
Calgary, AB · Edmonton, AB
- Full-time
…Salesforce operations with modern software engineering, you will engineer custom tooling, automate workflow and environment management, streamline deployments, and establish code quality…
Added 9 hours ago
SF
Senior Site Reliability Engineer
Safe Fleet
Coquitlam, BC
- Full-time
The Senior Site Reliability Engineer owns reliability, resilience and operational health across SafeFleet’s cloud-native product ecosystem. This is a hands-on engineering role with…

Infoya

AI Platform Engineer

Toronto, ON, Canada

Salary Range: CAD$ 90,000 - 100,000 · Full-time

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Job details

Pay: Salary Range: CAD$ 90,000 - 100,000
Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

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.

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More about this job

Responsibilities

Design, build, deploy, and monitor production LLM agent systems, including MCP-based tools and REST API integrations, while managing reliability, performance, and token costs. Develop and tune anomaly detection and forecasting solutions, extend AI coding tools for team use, and apply enterprise safeguards in collaboration with security and compliance teams.

Requirements

Requires a bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience, and at least four years of experience shipping LLM agent systems to production. Candidates should have end-to-end production deployment and monitoring experience, hands-on anomaly detection or forecasting experience, disciplined AI-generated code review practices, and practical experience with enterprise AI safeguards.

Skills

LLM Agent Systems
Google ADK
LangGraph
MCP Servers
REST APIs
Kubernetes
CI/CD
Time-Series Forecasting
Anomaly Detection
Prometheus
Grafana
AI Coding Tools
AI Governance
Access Controls
Audit Logging
Model Evaluation

Visa sponsorship

Not detected in the job text

Keywords

LLM Agent Systems
Google ADK
LangGraph
CrewAI
AutoGen
OpenAI Agents SDK
MCP Servers
REST APIs
Kubernetes
Cloud Infrastructure
Containerization
CI/CD
Production Monitoring
Time-Series Forecasting
Anomaly Detection
Prometheus
Grafana
Claude Code
Cursor
GitHub Copilot
AI Governance
Access Controls
PII Handling
Secrets Management
Audit Logging
Cost Limits
Model Evaluation
Security Reviews
Compliance
Alert Threshold Tuning

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