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Added 2 mins ago
TC
Lead
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 mins ago
BI
DevOps & Cloud Systems - Fullstack Developer
BrightOrder Inc.
Remote, Canada
- Full-time
- Remote
We’re looking for a Full Stack Developer with strong DevOps and AWS experience to help build, automate, and scale BrightOrder’s cloud-based platform.
Added 1 hour ago
TC
Salesforce Communications Cloud Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 hour ago
TC
Data & Analytics Leader- Consulting/Managing Partner)
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 hour ago
TC
Data & Analytics Solutions Architect - Hadoop
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 hours ago
TI
Delivery Lead
Techpros IT Solutions Inc.
Toronto, ON
- Contract
…Salesforce, DevOps, Salesforce DevOps, Java, Spring Boot, Hibernate, Full Stack, and MEAN Stack development, as well as solution architecture. The company focuses on helping clients…
Added 3 hours ago
P
Growth Engineer Intern
Parameter
Engineer, BC
- Volunteer
2+ years of full-time experience as an engineer, ideally in growth, product engineering, or at an early-stage startup
Added 5 hours ago
CQ
AI Engineer
Canada Quant Labs
Victoria, BC · Greater Victoria Metropolitan Area
- Full-time
…harnesses that prove they hold up, and serve them through vLLM. Full-time, hybrid in Victoria, BC. CAD $140,000–$190,000 +…
Added 13 hours ago
I
Software Engineer
Insight
Remote, Canada
- Full-time
- Remote
…stakeholders and customers on each of them. This role is ideal for a full-stack engineer with solid Java and Spring Boot fundamentals and hands-on frontend experience who takes ownership of…
Added 13 hours ago
N
Member of Technical Staff 2 - AI
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack cloud platform helps you optimise IT costs with a software-defined cloud operating model. Harness AI-ready…
Added 14 hours ago
B
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
- $17.95 to $31 CAD / hour
- Volunteer
Design and deploy full-stack web applications and internal tools using React, Next.js, TypeScript, HTML, and CSS to support smart factory initiatives and manufacturing operations.
Added 14 hours ago
DI
Full Stack Developer – AI Python SQL Vue.js (1796) $75-80hr
Direct IT Recruiting Inc.
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior Full Stack Developer with proven leadership in delivering complex AI solutions. This lead role requires hands-on experience with Generative AI, including…
Added 14 hours ago
U
Full-Stack Software Engineer
Ultrassure
Remote, Canada
- Full-time
- Remote
We are hiring a Full-Stack Software Engineer to help build the next generation of the platform.
Added 14 hours ago
GS
SENIOR BUSINESS DEVELOPMENT EXECUTIVE – RMC SOLUTIONS
Giatec Scientific Inc.
Ottawa, ON
- Full-time
…products – SmartRock®, SmartMix®, and MixPilot® – support the full concrete lifecycle, from mix design and production to placement and performance monitoring, helping teams improve quality,…
Added 15 hours ago
X
Lead Engineer - Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
Integrating and championing artificial intelligence capabilities to accelerate engineering productivity and enhance developer workflows
Added 16 hours ago
ND
JAVA Full Stack Developer
NTT DATA North America
Montreal, QC
- Full-time
Added 16 hours ago
ZC
Full Stack Developer (Java/JavaScript)
Ztek Consulting
Montreal, QC
- $115,000 to $120,000 CAD / year
- Full-time
We are seeking an experienced Full Stack Developer (Java/JavaScript) to join the Risk and Information Management team supporting Non-Financial Risk Management applications. The ideal…
Added 16 hours ago
AM
Systems Design Engineer (New Grad)
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…software failure investigations, isolate root causes across the full silicon stack, and drive fixes in collaboration with design and software teams. You will be integrated as a fully…
Added 17 hours ago
C
Guidewire Technical Architect - InsuranceNow
Cognizant
Canada
- Full-time
…gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an…
Added 17 hours ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- Full-time
Explore emerging technology. Continuously test new AI, MarTech, advertising, and developer tools and bring the highest-leverage capabilities into our stack.
Added 17 hours ago
S
Software Engineer
Spellbook
Canada
- Full-time
Added 17 hours ago
RI
Senior Full Stack Engineer - Java /
Rose International
Mississauga, ON
- Full-time
Job Title: Senior Full Stack Engineer - Java / AI
Added 17 hours ago
S
Senior Software Engineer, Platform & Infrastructure
Spellbook
Canada
- Full-time
…team. In this role, you'll work across our entire technical stack - from infrastructure (AWS, MongoDB, infrastructure as code, Datadog, CI/CD) to platform capabilities that enable product…
Added 17 hours ago
UT
Java Full Stack Developer #26-25630
US Tech Solutions
Toronto, ON
- $75 to $80 USD / hour
- Contract
We are looking for an experienced Senior Java Full Stack Developer to support application development, enhancements, production support, and technology projects within an enterprise…
Added 17 hours ago
AI
Full Stack Developer - .NET (Intermediate)
Avant Imaging & Information Management, Inc.
Toronto, ON · Scarborough, ON
- Full-time
Reporting to the VP, Solutions & Delivery, we are looking for a talented and motivated Full Stack Developer – .NET to join our development team. The ideal candidate will have strong…

Canada Quant Labs

AI Engineer

Victoria, BC, Canada
Greater Victoria Metropolitan Area, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

The short version - Canada Quant Labs is hiring an AI Engineer to own pieces of our train → quantize → deploy pipeline. You'll ship open-weight checkpoints (like our Hy3, GLM-5.2, and DeepSeek-V4 quants), build the eval harnesses that prove they hold up, and serve them through vLLM. Full-time, hybrid in Victoria, BC. CAD $140,000–$190,000 + equity.

The role

We're Canada's open-weight model lab: we train, quantize, and deploy sovereign AI on Canadian Blackwell silicon for the industries - legal, medical, defence, finance - that can't run on someone else's API. Everything we ship is public: weights, recipes, benchmarks, and the engineering log of what broke along the way.

This is a hands-on engineering role on the model team, not a research-caretaker role. The person in it trains models, breaks them, measures them, and ships them - then writes up what happened so the community doesn't have to re-walk the dead-ends.

What you'll do

Train and fine-tune open-weight models on our DGX B300 cluster - domain distills, reasoning and agentic post-training, and Canadian-corpora adaptations for legal, medical, defence, and finance buyers.
Own quantization recipes end-to-end - W4A16 and NVFP4 with llm-compressor, calibration-data selection, and quality validation against the FP8/BF16 references.
Build and run the eval harnesses that decide what ships: reasoning, instruction-following, long-context retrieval, and domain benchmarks like our CanLegal Bench, whose leaderboard is now live.
Serve what you ship through vLLM - speculative decoding (MTP), expert-parallel MoE serving, throughput/latency profiling, and the kernel-level debugging when numbers don't make sense.
Publish everything - model cards, reproducible recipes, benchmark methodology, and engineering logs - and upstream fixes to the open stack (vLLM, llm-compressor) when you find them.

What you bring

Strong PyTorch and transformer fundamentals. You've trained or fine-tuned multi-billion-parameter models and can reason about what's happening inside the network - not just drive the framework.
Real LLM serving or quantization experience. You've shipped something with vLLM, TensorRT-LLM, SGLang, or similar - or you've built quant/serving tooling (GPTQ, AWQ, NVFP4, activation-aware recipes) that other people used.
Systems instincts. Comfortable reading CUDA/perf profiles, reasoning about memory footprints and tensor/expert parallelism, and hunting a 13% throughput regression down to a kernel flag.
Evidence of craft. A checkpoint, a kernel, an eval harness, a merged PR, a write-up - something public we can look at. We hire from artifacts, not credentials.
Clear technical writing. Our work is open by default; your model cards and engineering logs are part of the product.

Nice to have

MoE training or serving experience (expert parallelism, router behaviour, sparse-attention variants).
Speculative decoding - MTP/EAGLE-style draft heads, acceptance-rate tuning.
Eval science: benchmark design, contamination hygiene, statistical rigour about run-to-run noise.
Background in a regulated domain (legal, medical, defence, finance) or with Canadian data-residency constraints.
Open-source maintainership or a meaningful contribution history in the inference/training stack.

How we work

Small team, hybrid in Victoria, BC - we like being in the room for design reviews and launch days, and we don't count hours the rest of the time. Compute is dedicated, not queued: experiments start when you're ready. Decisions get written down, results get published, and the person who did the work presents it.

Compensation & logistics

Posted per BC pay-transparency requirements. We hire for impact; exceptional candidates can exceed the range. Base salary CAD $140,000–$190,000 Equity Meaningful early-stage grant Location Victoria, BC

hybrid (relocation support available) Work authorization Canadian citizens & permanent residents preferred Start Flexible
we're hiring now

How to apply

Apply below - a short note and your résumé are all we need. Links to artifacts (Hugging Face, GitHub, papers, benchmarks, write-ups) help a lot.

We read every application and reply within two weeks. The process: intro call → technical deep-dive on something you've built → paid half-day work trial on real cluster work → offer.

How To Apply

Apply for this role

Tell us who you are, attach your résumé, and point us at the hardest model system you've made work. We reply within two weeks.

Full name Email Links - portfolio / GitHub / LinkedIn, one per line

optional Cover note - short, why CQL
optional Résumé

Drop your résumé here, or browse files PDF, DOC, DOCX, TXT or MD

max 10 MB

Company

Prefer email? careers@cql.ca

Apply About employer

More about this job

Responsibilities

Train and fine-tune open-weight models, develop and validate quantization recipes and evaluation harnesses, and serve models through vLLM while profiling performance and debugging kernels. Publish model cards, reproducible recipes, benchmarks, and engineering logs, and contribute fixes to open-source tools.

Requirements

Candidates should have strong PyTorch and transformer fundamentals, experience training or fine-tuning multi-billion-parameter models, and practical LLM serving or quantization experience. They should be comfortable with CUDA and performance analysis, have public evidence of technical work, and communicate clearly in writing.

Skills

PyTorch
Transformer Models
Model Training And Fine-Tuning
LLM Quantization
LLM Serving
vLLM
CUDA Performance Profiling
Kernel Debugging
Evaluation Harness Development
Benchmark Design
Speculative Decoding
Mixture-Of-Experts Serving
Tensor And Expert Parallelism
Technical Writing
Open-Source Contribution

Benefits

Equity
Relocation Support

Visa sponsorship

Not detected in the job text

Keywords

PyTorch
Transformers
Open-Weight Models
DGX B300
Blackwell Silicon
W4A16
NVFP4
llm-compressor
FP8
BF16
vLLM
TensorRT-LLM
SGLang
GPTQ
AWQ
CUDA
Speculative Decoding
MTP
EAGLE
Mixture Of Experts
Expert Parallelism
Long-Context Retrieval
Evaluation Harnesses
Benchmark Design
CanLegal Bench
Domain Distillation
Agentic Post-Training
Canadian Data Residency
Model Cards
Open-Source Contributions

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