Jobs in Markham, ON and nearby

Jobs within 25 km of Markham, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

19,310 listings · 3,606 employers Counted Oct 31, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (372 listings), Shoppers Drug Mart (344 listings), Walmart Canada (291 listings).

Common roles: Retail sales associate, Project manager, Personal support worker.

3,646 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	22.70	1,839
CAD / year	75,000.00	1,459
USD / year	95,900.00	134
USD / hour	18.95	68
CAD / month	4,500.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 83% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Markham, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 1 day ago
TD
DZ Driver [Groundperson / Arborist]
The Davey Tree Expert Company
Pickering, ON
- Full-time
Added 1 day ago
TD
Arborist Apprentice
The Davey Tree Expert Company
Whitchurch-Stouffville, ON
- Full-time
Added 1 day ago
KR
Finance Manager
Kassen Recruitment
Concord, ON
- Full-time
Added 1 day ago
TD
Arborist Climber
The Davey Tree Expert Company
Whitchurch-Stouffville, ON
- Full-time
Added 1 day ago
NF
Cashier Part Time Day
No Frills
Toronto, ON
- Part-time
Added 1 day ago
WC
(CAN) OMNI Customer Fulfillment Associate
Walmart Canada
Toronto, ON
- Temporary
Added 1 day ago
TD
Arborist Climber
The Davey Tree Expert Company
Pickering, ON
- Full-time
Added 1 day ago
TD
Arborist Foreperson
The Davey Tree Expert Company
Pickering, ON
- Full-time
Added 1 day ago
WC
(CAN) General Merchandise Associate
Walmart Canada
Toronto, ON
- Full-time
Added 1 day ago
RH
Controller
Robert Half
Markham, ON
- Full-time
Added 1 day ago
WI
Lead Mechanical Engineer, Resources
WSP in Canada
Vaughan, ON
- Full-time
Added 1 day ago
WI
Lead Mechanical Engineer, Resources
WSP in Canada
Markham, ON
- Full-time
Added 1 day ago
PV
Licensed Optician-East York, ON-PearleVision
Pearle Vision
Toronto, ON
- Full-time
Added 1 day ago
ME
Standards Technologist
Morson Edge (Canada)
Toronto, ON
- $50 to $65 CAD / hour
- Contract
Added 1 day ago
H
Global Mining Practice Business Development Leader
HDR
Richmond Hill, ON
- Full-time
Added 1 day ago
A
Food & Beverage - Sous Chef, Internal Restaurant (Back of House)
Aritzia
Vaughan, ON
- $65,000 to $90,000 CAD / year
- Full-time
Added 1 day ago
CI
Manager, Data Platforms (Permanent)
CoreFactor Inc.
Toronto, ON
- Full-time
Added 1 day ago
CI
Project Manager (Permanent)
CoreFactor Inc.
Toronto, ON
- Full-time
Added 1 day ago
FI
Marketing Coordinator
fishRecruit Inc.
Toronto, ON
- $50,000 to $55,000 CAD / year
- Full-time
Added 1 day ago
WI
Project Manager, Power Delivery
WSP in Canada
Vaughan, ON
- Full-time
Added 1 day ago
VS
Receptionist (2026-10991)
Verve Senior Living
Toronto, ON
- Other
Added 1 day ago
CO
Project manager, Yonge Subway Extension Project Job Details | Richmond Hill
City of Richmond Hill
Richmond Hill, ON
- Full-time
Added 1 day ago
I-
Door Stainer
I8IS - Infiniti Software Solutions
Concord, ON
- Full-time
Added 1 day ago
SS
Continuous Improvement Process Engineer
Samuel, Son & Co.
Markham, ON
- Full-time
Added 1 day ago
C
Operations Manager
Confidential
Vaughan, ON
- Full-time

INFOYA

AI Platform Engineer

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary Range: CAD$ 90,000 - 100,000
Job type: Full-time
Experience: 4+ years of experience shipping LLM agent system
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.

Apply About employer

More about this job

Responsibilities

Design, build, and operate production-ready LLM agent systems and anomaly detection tools. Manage the end-to-end delivery lifecycle, including architecture, deployment to Kubernetes, and post-launch monitoring.

Requirements

Requires a bachelor's degree in Computer Science or Engineering and 4+ years of experience shipping LLM agent systems to production. Candidates must have hands-on experience with time-series forecasting, CI/CD pipelines, and enterprise AI safety protocols.

Skills

LLM Agent Systems
Kubernetes
CI/CD
Time-series Forecasting
Anomaly Detection
Prometheus
Grafana
REST APIs
MCP Servers
Python
AI Governance
Cloud Infrastructure
Containerization
Model Evaluation
Security Compliance

Visa sponsorship

Not detected in the job text

Keywords

AI Platform Engineer
LLM
Agent Systems
Anomaly Detection
Kubernetes
CI/CD
Prometheus
Grafana
REST APIs
MCP Servers
Cloud Infrastructure
Containerization
Time-series Forecasting
AI Governance
PII Handling
Audit Logging
Model Evaluation
Claude Code
Cursor
Copilot
Software Engineering
Observability
Security Compliance
Enterprise AI

Report this job