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Added 3 mins ago
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Technology Strategy & Transformation Manager
Accenture
Toronto, ON
- Full-time
Added 3 mins ago
HR
Supervisor, Loss Prevention
Holt Renfrew
Mississauga, ON
- Full-time
Added 3 mins ago
C
Sr. Manager, Email and Distributed Marketing
CIBC
Toronto, ON
- Full-time
Added 3 mins ago
W
Corporate Procurement Specialist
Worley
AB
- Full-time
Worley is a leader in industrial construction in Alberta and western Canada. Our employees enjoy exciting careers in fabrication, modularization, field installation, and professional…
Added 3 mins ago
Q
High Speed Validation Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency…
Added 18 mins ago
EG
Route Supervisor
Emterra Group
Barrie, ON · Greater Barrie Metropolitan Area
- Full-time
Please visit our careers page to see more job opportunities.
Added 33 mins ago
CC
Credit Adjudicator
Cambrian Credit Union
Winnipeg, MB
- Full-time
Added 48 mins ago
LZ
Sales Consultant
La Z Boy Furniture
Vaughan, ON
- Full-time
…contribute to a service-oriented culture while developing meaningful…
Added 1 hour ago
LC
Apparel Clerk Part Time Evening
Loblaw Companies Limited
Nanaimo, BC
- Part-time
…through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are…
Added 1 hour ago
LC
Deli Clerk Part Time Evening
Loblaw Companies Limited
Barrie, ON
- Part-time
…through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are…
Added 1 hour ago
TB
Seasonal Sales Associate
Tailored Brands
Toronto, ON
- Full-time
…application process for applications submitted through the careers site on our Tailored Brands website, including to assist us in evaluating your application and providing you with…
Added 1 hour ago
Part Time Tailor
Tailored Brands
Kamloops, BC
Added 1 hour ago
TB
Seasonal Sales Associate
Tailored Brands
Toronto, ON
- Full-time
…application process for applications submitted through the careers site on our Tailored Brands website, including to assist us in evaluating your application and providing you with…
Added 1 hour ago
W
Manager, Purchasing
Worley
Edmonton, AB
- Full-time
…in Alberta and western Canada. Our employees enjoy exciting careers in fabrication, modularization, field installation, and professional support services for some of world's most…
Added 1 hour ago
M
Data Center Technician
Microsoft
Toronto, ON
- $59,700 to $95,700 CAD / year
- Full-time
Added 1 hour ago
M
Technicien principal de l'environnement critique (CET)/Critical Environment Technician
Microsoft
Quebec, QC
- Full-time
Added 1 hour ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
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M
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Vancouver, BC
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Beauty Advisor - Sisley
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Q
Verification Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency…
Added 1 hour ago
C
Private Banking Associate
CIBC
London, ON
- Full-time
Added 1 hour ago
JC
Security Service Technician (TQ)
Johnson Controls
Delta, BC · Vancouver, BC · CAN BC DELTA
- Full-time
Added 1 hour ago
IF
Tax Analyst, Corporate Tax
Intact FC
Toronto, ON · Montreal, QC
- Full-time
Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed…

FullStack

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

Toronto, ON, Canada

Full-time

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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.

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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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