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Added 36 mins ago
Y
Azure Observability & Monitoring Engineer
Yochana
Toronto, ON
- Full-time
Position Name – Azure Observability & Monitoring Engineer
Added 2 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 2 hours ago
MT
Cloud Engineer
MSR Technology Group
Toronto, ON
- Contract
Build reusable Terraform modules and Python scripts for observability automation.
Added 2 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 2 hours ago
RE
Cyber Security Engineer
Randstad Enterprise
Montreal, QC
- Contract
We’re seeking someone to join our Crypto team as Cybersecurity Engineer in Technology to implement and manage cryptographic infrastructure that secures the Firm’s most sensitive data and…
Added 2 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…
Added 2 hours ago
TC
Platform Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Platform Engineer We are seeking a highly skilled and experienced Platform Engineer with strong DevOps and Site Reliability Engineering (SRE) expertise to join our technology team.
Added 2 hours ago
U
Full Stack Engineer
Ultrassure
Toronto, ON
- Full-time
We are looking for a Full-Stack Software Engineer to join Ultrassure as one of our early engineers.
Added 2 hours ago
A
Gen AI Engineer (Python,RAG, LangChain, LangSmith)
Apptad
Montreal, QC
- Full-time
The Role: GEN AI Engineer (Python,RAG, LangChain, LangSmith)
Added 2 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 2 hours ago
Y
Azure Observability & Monitoring Engineer
Yochana
Toronto, ON
- Full-time
Position Name – Azure Observability & Monitoring Engineer
Added 2 hours ago
V
Cloud Engineer
VySystems
Toronto, ON
- Contract
Build reusable Terraform modules and Python scripts for observability automation.
Added 2 hours ago
L
Murex DevOps Jun/Mid - Murex Collocated Pool
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will design, build, and operate automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS, cloud, and on-premises…
Added 2 hours ago
AS
DevOps Engineer – Data Protection Services
Axelon Services Corporation
Montreal, QC
- $55.17 USD / hour
- Other
Collaborate with the Data Discovery Squad and broader Technology stakeholders to enhance services through automation, scripting, and effective observability solutions.
Added 2 hours ago
S
DevOps Engineer
Synechron
Montreal, QC
- $75,000 to $85,000 CAD / year
- Full-time
We are seeking a DevOps Engineer who will join the Squad, which integrates the
Added 2 hours ago
C
Senior Full-Stack Engineer / Technical Lead - Onsite
Cognizant
Toronto, ON
- Full-time
We are looking for an experienced Senior Full-Stack Engineer / Technical Lead to design and develop scalable enterprise applications and cloud-native solutions. The ideal candidate will…
Added 2 hours ago
E
DevOps Engineer
Equinix
Toronto, ON
- Full-time
We are looking for an experienced Staff Engineer to join a team responsible for maintaining and evolving our Kubernetes-based infrastructure across both on-premises and AWS environments.…
Added 2 hours ago
O
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified…
Added 2 hours ago
E
Solutions Engineer
EXFO
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 2 hours ago
E
Solutions Engineer
EXFO
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 2 hours ago
MI
FHIR Integration Engineer/Full Stack Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Experience with AWS messaging, integration, and observability services such as Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon API Gateway, and Amazon CloudWatch.
Added 2 hours ago
O
Staff FullStack Engineer, Secures AI
Okta
Waterloo, ON
- $160,000 to $220,000 CAD / year
- Full-time
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified…
Added 2 hours ago
O
Staff FullStack Engineer, Secures AI
Okta
Kitchener, ON
- $160,000 to $220,000 CAD / year
- Full-time
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified…
Added 2 hours ago
ET
Senior AI/ML Engineer
Envision Technology Solutions
Canada
- Contract
The Senior AI/ML Platform Engineer will build, productionize, and operate AI/ML solutions on Azure Databricks platform.
Added 2 hours ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
We are looking for a hands-on Senior AI Engineer to take working prototypes into production and shape the architecture as the product grows. You will have broad ownership across agent…

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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