Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

299,079 listings · 42,823 employers Counted Oct 26, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (6,907 listings), Walmart (2,320 listings), Loblaw Companies Limited (2,302 listings).

Common roles: Cook, Project manager, Sales representative.

56,723 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	24.00	34,322
CAD / year	80,000.00	18,752
USD / year	97,324.20	1,336
USD / hour	20.00	538
CAD / month	5,027.00	483
CAD / week	1,445.00	45
CAD / day	367.50	32
GBP / year	40,000.00	13
USD / month	4,000.00	13
USD / week	1,817.65	12
EUR / year	65,000.00	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: 2% remote, 16% hybrid, 82% 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

Full-time jobs in Canada

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Added 7 hours ago
Practice Manager
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Embrun, ON
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VetStrategy / Daubigny
Varennes, QC
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Veterinary Technician / Technologist
VetStrategy / Daubigny
Trois-Rivières, QC
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A
Project Manager - Data Center
Arcadis
Toronto, ON
- Full-time
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EN
Electrical Apprentice
Energy Network Services
Calgary, AB
- Full-time
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SD
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Shoppers Drug Mart
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Shoppers Drug Mart
Laval, QC
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A
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ANTAGENE
Saint-Hyacinthe, QC · Biovet - St. Hyacinthe
- Full-time
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Huntsville, ON
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Toronto, ON
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AG
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Toronto, ON
- Full-time
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Quincaillerie Richelieu
Richmond, BC
- Full-time
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QR
PRICING SUPERVISOR
Quincaillerie Richelieu
Montreal, QC
- Full-time
Added 7 hours ago
LC
Grocery Clerk Full Time Day
Loblaw Companies Limited
Markham, ON
- Full-time
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R
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Toronto, ON
- Full-time
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Director of Business Development and Membership Services
Ontario Soil and Crop Improvement Association
Guelph, ON
- Full-time
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IF
Sales Director
Iceberg Finance Group
Toronto, ON
- Full-time
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S
North America Sector Leader – Management & Technology Consulting
Stantec
Edmonton, AB
- Full-time
Added 7 hours ago
TT
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The TJX Companies, Inc.
Mississauga, ON
- Full-time
Added 7 hours ago
JI
Warehouseperson - HSY, Local 1
J.D. Irving, Limited
Halifax, NS
- Full-time
Added 7 hours ago
UO
Manager, Funding Development & Compliance
Union of Nova Scotia Mi'kmaq
NS · Membertou, Nova Scotia
- Full-time
Added 7 hours ago
UO
Director, Capacity Development
Union of Nova Scotia Mi'kmaq
NS · Membertou, Nova Scotia
- Full-time
Added 7 hours ago
S
Onsite Laboratory Technician
SGS
Prince George, BC
- $27.4 CAD / hour
- Full-time

Greybridge Search & Selection

Lead Software Engineer

ON, Canada
Ontario, Canada, Canada

$170,000 to $190,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $170,000 to $190,000 CAD / year
Job type: Full-time
Apply by: Nov 25, 2026
Experience: 8+ years of software engineering, with hands-on commercial experience in IR, NLP, LLM and agentic systems running in production
Posting language: English
Posted: Oct 26, 2026

Original job description

Lead Software Engineer – Agentic AI, NLP & Production ML | Applied AI Lab

I’m recruiting for a global leader in professional information and enterprise software. Their applied AI lab needs a Lead Engineer who has built agentic and LLM systems that run in production, not just in a notebook.

The opportunity

This is a lab that experiments, builds and delivers. You’ll lead technical direction across multiple initiatives, set engineering standards that scale, and work with research scientists to turn ideas into products used by legal, tax, accounting and government professionals worldwide.

What you’ll do

Provide technical leadership: set the standards and best practices that help a global team move faster
Own the full lifecycle, building, testing and shipping high-quality ML-powered solutions
Build large-scale data pipelines that help researchers train novel ML algorithms, and high-performing systems for online delivery
Design and optimise multi-agent systems, including tool calling, context management and workflow orchestration
Partner with research scientists to evaluate, prototype and productionise new concepts
Lead engagement across Product, UX, Tech and Business, taking ambiguous problems all the way to a system customers can trust
Mentor engineers and raise the technical bar across the team

What you’ll bring

8+ years of software engineering, with hands-on commercial experience in IR, NLP, LLM and agentic systems running in production
Deep expertise in agentic AI: tool use, multi-agent orchestration, context management, and observability/telemetry (tools like Langfuse or Braintrust will be on their radar)
Expert production Python: clean, testable, maintainable code, ideally with Pydantic/PydanticAI, plus familiarity with PyTorch and Hugging Face
Comprehensive evaluation experience: end-to-end quality measurement of agents in live systems, not just offline metrics
Strong NLP grounding: NER, information extraction, information retrieval
Experience with MLOps/ModelOps, automation, monitoring and cloud-native apps on AWS, Azure or similar
Understanding of the maths behind ML, including probabilistic models
Proven ability to lead stakeholders across Product, UX, Tech and Business
A track record of mentoring and technical leadership
Degree in Computer Science or a related field

Apply About employer

More about this job

Responsibilities

Lead technical direction and engineering standards across applied AI initiatives, building and shipping production ML solutions, large-scale data pipelines, and multi-agent systems. Partner with research scientists and cross-functional stakeholders to turn concepts into trusted customer products, while mentoring engineers and raising the team's technical bar.

Requirements

Requires 8+ years of software engineering experience and hands-on commercial experience with production information retrieval, NLP, LLM, and agentic systems. Candidates should bring expert Python skills, agent observability and evaluation experience, MLOps and cloud knowledge, strong NLP and ML foundations, stakeholder leadership, mentoring experience, and a degree in Computer Science or a related field.

Skills

Agentic AI
Large Language Models
Natural Language Processing
Information Retrieval
Named Entity Recognition
Information Extraction
Production Python
Multi-Agent Orchestration
Tool Calling
Context Management
Model Evaluation
MLOps
ModelOps
AWS
Azure
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Large Language Models
Natural Language Processing
Information Retrieval
Named Entity Recognition
Information Extraction
Python
Pydantic
PydanticAI
PyTorch
Hugging Face
Langfuse
Braintrust
Multi-Agent Systems
Tool Calling
Context Management
Workflow Orchestration
Model Evaluation
Observability
Telemetry
MLOps
ModelOps
AWS
Azure
Cloud-Native Applications
Data Pipelines
Probabilistic Models
Production Machine Learning
Applied AI
Technical Leadership

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