Jobs in Canada

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Added 15 days ago
RB
Senior Director, DevOps Product Management and Strategy
Royal Bank of Canada
Toronto, ON
- Full-time
…AI-integrated SDLC frameworks, harness engineering practices, and developer productivity optimization. This role requires both strategic thinking - setting 3-5 year vision and making…
Added 15 days ago
NC
Counter Sales - HVAC
Noble Corporation
Toronto, ON · North York, Ontario
- Full-time
Must Haves and Nice to Haves · You Must Have:
Added 15 days ago
R&
Operations Officer II
Robertson & Company Ltd.
Toronto, ON
- Contract
Strong technical skills or background (comfortable using various applications, can create EUC’s etc.).
Added 15 days ago
O
NA Sales Representative, Applications - Opower
Oracle
Canada
- Full-time
Primary job duty is to sell business applications software/solutions and related services to prospective and existing customers. Manage sales through forecasting, account resource…
Added 15 days ago
N
Senior Data Reliability Developer
nesto
Canada
- Full-time
…most advanced mortgage platform. As a Senior Data Reliability Developer, you won't just be "checking results"; you will be a specialized engineer focused on the integrity, reliability, and…
Added 15 days ago
FR
Light Duty Cleaner
FirstService Residential Canada
Toronto, ON
- Full-time
FirstService Residential welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the…
Added 15 days ago
AC
Claims Analyst - Reinsurance
Aviva Canada
Markham, ON
- Full-time
Added 15 days ago
N
Director of AI Delivery
nesto
Toronto, ON
- Full-time
Added 15 days ago
EI
Site Security Coordinator
EBC Inc.
Ottawa, ON
- Full-time
Proficiency with security technologies and Microsoft Office applications.
Added 15 days ago
EI
Assistant Site Superintendent
EBC Inc.
Ottawa, ON
- Full-time
Must have a Gold Seal Certification or equivalent professional designation;
Added 15 days ago
FR
Security Concierge
FirstService Residential Canada
Vaughan, ON
- Full-time
Must possess a valid Ontario Security License
Added 15 days ago
FR
Security Concirge
FirstService Residential Canada
Toronto, ON
- Full-time
Must possess a valid Ontario Security License
Added 15 days ago
EW
Project Manager
ERCO Worldwide
Saskatoon, SK
- Full-time
Added 15 days ago
EW
Senior Plant Process Engineer
ERCO Worldwide
Saskatoon, SK
- Full-time
Added 15 days ago
AC
Claims Analyst - Reinsurance
Aviva Canada
Oakville, ON
- Full-time
Added 15 days ago
EI
Site Superintendent
EBC Inc.
Ottawa, ON
- Full-time
Must have experience with design-builds · Must have a Gold Seal Certification or equivalent professional designation;
Added 15 days ago
N
Director of AI Delivery
nesto
Montreal, QC
- Full-time
Added 15 days ago
SP
Proposal Lead
Spark Power ⚡
AB · Edmonton, AB
- Full-time
Added 15 days ago
EI
Project Manager
EBC Inc.
Mississauga, ON
- Full-time
EBC welcomes applications from First Nations, Inuit, and Métis candidates and is committed to fostering an inclusive, culturally safe workplace.
Added 15 days ago
UI
Business Development Representative
Util-Assist Inc.
Newmarket, ON
- Full-time
Added 15 days ago
VB
Senior C++ Software Engineer - VxWorks
Vaco by Highspring
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $140,000 CAD / year
- Full-time
10+ years of developing embedded applications
Added 15 days ago
SP
Proposal Coordinator
Spark Power ⚡
AB · Edmonton, AB
- Full-time
Added 15 days ago
F
Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada
FullStack
Toronto, ON
- Full-time
Ability to implement guardrails and controls for production LLM applications.
Added 15 days ago
K
Senior Consultant - IT Risk Services
KPMG
ON · Toronto, Ontario
- Full-time
…our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made…
Added 15 days ago
Manager, Talent Acquisition
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Ac

FullStack

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

Toronto, ON, Canada

Full-time

Apply on LinkedIn 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 on LinkedIn 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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Work requirements

Jobs in Canada