Jobs in Vaughan, ON and nearby

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

72,222 listings · 9,263 employers Counted Oct 27, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,347 listings), Loblaw Companies Limited (1,229 listings), Shoppers Drug Mart (1,131 listings).

Common roles: Software engineer, Retail sales associate, Project manager.

11,299 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 / year	85,000.00	5,869
CAD / hour	26.00	4,406
USD / year	120,000.00	446
USD / hour	25.28	220
CAD / month	4,500.00	22
CAD / week	2,868.82	18

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, 28% hybrid, 72% 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 Vaughan, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 10 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
Added 10 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 10 hours ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Added 10 hours ago
HT
Test Engineering Technologist
Husky Technologies
Bolton, ON
- Full-time
Added 10 hours ago
HT
A/P Administrator
Husky Technologies
Bolton, ON
- Full-time
Added 10 hours ago
C
Leader, GVS Inside Sales - Canada
Cisco
Toronto, ON
- Full-time
Added 10 hours ago
Collection Specialist
Dentons
Toronto, ON
Added 10 hours ago
C
Actuarial Consultant
Co-operators
Toronto, ON
- Full-time
Added 10 hours ago
C
Technical Supervisor, Appraisal - Property Building
Co-operators
Toronto, ON
- Full-time
Added 11 hours ago
CL
Personal Shopper
CHANGE Lingerie Canada
Toronto, ON
- Internship
Added 11 hours ago
V
Pega Smart Dispute Developer
Virtusa
Toronto, ON
- Full-time
Added 11 hours ago
MP
Operations Pharmacist
MediSystem Pharmacy
Toronto, ON
- Full-time
Added 11 hours ago
NY
Front liner
New York Fries
Concord, ON
- Full-time
Added 11 hours ago
LC
Beauty Specialist, Hourly Full Time Flexible Shifts
Loblaw Companies Limited
Toronto, ON
- Full-time
Added 11 hours ago
NW
Manager, Employment Programs (Church Location)
Newcomer Women's Services Toronto
Toronto, ON
- Full-time
Added 11 hours ago
RS
Rental Account Manager
Ryder System, Inc.
Concord, ON
- Full-time
Added 11 hours ago
V
Pega Smart Dispute Developer
Virtusa
Toronto, ON
- Full-time
Added 11 hours ago
BL
Locksmith
Benson Lock
Toronto, ON
- Full-time
Added 11 hours ago
V
Pega QA
Virtusa
Toronto, ON
- Full-time
Added 11 hours ago
LC
Merchandiser, Hourly Full Time Flexible Shifts
Loblaw Companies Limited
Toronto, ON
- Full-time
Added 11 hours ago
SD
Pharmacy Student, Hourly Part Time Day Greenlight Requisition
Shoppers Drug Mart
Maple, ON
- Part-time
Added 11 hours ago
W
(CAN) Produce Stocker**Part-Time Required Flexible Hours**
Walmart
Vaughan, ON
- Part-time
Added 11 hours ago
SS
Registered Nurse Temporary Casual
Sienna Senior Living
Toronto, ON
- Part-time
Added 11 hours ago
TI
Senior Project Manager
TekStaff IT Solutions
Toronto, ON
- Contract
Added 11 hours ago
AC
Billing Analyst
Aston Carter
Toronto, ON
- $26 to $28 CAD / hour
- Contract

FullStack

Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 25, 2026
Experience: 5+ years of professional experience in AI/ML engineering, software engineering, or machine learning infrastructure.
Posting language: English
Posted: Oct 26, 2026

Original job description

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We’re Most Proud Of

Offering life-changing career opportunities to talented software professionals across the Americas.
Building highly-skilled software development teams for hundreds of the world’s greatest companies.
Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
Our 4.1-star rating on GlassDoor.
Our client Net Promoter Score of 68, twice the industry average.

The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI Engineer (NVIDIA + LLM Inference).

You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

5+ years of professional experience in AI/ML engineering, software engineering, or machine learning infrastructure.
Advanced English is required.
Successful completion of a four-year college degree is required.
Strong hands-on experience with NVIDIA's AI inference stack, particularly NVIDIA NIM, NeMo, NeMo Guardrails, TensorRT-LLM, and Triton Inference Server.
Proven experience deploying and self-hosting LLMs and embedding models in production on GPU infrastructure.
Practical experience serving and scaling inference workloads, including GPU cluster operations and Kubernetes-based environments, ideally using the NVIDIA GPU Operator.
Strong theoretical and applied understanding of LLMs, including inference optimization, model serving, and the operational challenges of running models at scale.
Experience building and operating private, on-premises AI inference platforms in secure environments.
Ability to implement guardrails and controls for production LLM applications.
Experience working in banking or other regulated industries is a plus.
Ability to work through new and difficult issues and contribute to libraries as needed.
Ability to create and maintain continuous integration and delivery of applications.
Forensic attention to detail.
A positive mindset and a can-do attitude.
Experience working on Agile / Scrum teams.
Meaningful experience working on large, complex systems.
Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Nice To Have

We’re Seeking Engineers Who Are AI-enthusiastic In Their Workflow. Professional Experience Or Personal Project Work With The Following Is a Significant Plus

Cursor, Windsurf, or Google Antigravity.
Claude Code, Gemini CLI, Codex, or Copilot CLI.

Work Authorization Requirements

Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
FullStack will not sponsor applicants for work visas now or in the future.

What We Offer

Competitive pay.
The ability to work with leading startups and Fortune 500 companies.
Continuing education opportunities.
Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

Learn more about our Applicants Privacy Notice.

Apply About employer

More about this job

Responsibilities

Deploy, self-host, serve, and scale LLMs and embedding models in production on GPU infrastructure, including Kubernetes-based clusters and secure, on-premises platforms. Build and operate inference systems with optimization, model-serving controls, and guardrails for production LLM applications.

Requirements

Requires at least five years of relevant AI/ML engineering, software engineering, or machine learning infrastructure experience, advanced English, and a completed four-year college degree. Candidates should have hands-on experience with NVIDIA inference technologies, production GPU workloads, Kubernetes, LLM operations, and CI/CD; regulated-industry experience is a plus.

Skills

NVIDIA AI Inference Stack
NVIDIA NIM
NeMo
NeMo Guardrails
TensorRT-LLM
Triton Inference Server
LLM Deployment
Embedding Models
GPU Infrastructure
Kubernetes
GPU Cluster Operations
Inference Optimization
Model Serving
On-Premises AI Platforms
Continuous Integration and Delivery
Agile/Scrum

Benefits

Competitive Pay
Continuing Education Opportunities
Career Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
NVIDIA
NVIDIA NIM
NeMo
NeMo Guardrails
TensorRT-LLM
Triton Inference Server
Large Language Models
Embedding Models
LLM Inference
GPU Infrastructure
GPU Clusters
Kubernetes
NVIDIA GPU Operator
Inference Optimization
Model Serving
On-Premises AI
Secure Environments
Guardrails
Production Deployment
Machine Learning Infrastructure
Continuous Integration
Continuous Delivery
Agile
Scrum
Banking
Regulated Industries
Cursor
Windsurf

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