Full Stack Software Engineer - Remote
- Employment type
- Contract · On-site
- Posted
- September 26, 2026
- Salary range
- $166,400–$249,600 CAD per year
- NOC code
- 21231 — Software engineers and designers
- Province
- Quebec (QC)More in Quebec
Hiring confidence: Some gaps · 56/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Quebec. The Canadian NOC code for this position is 21231 — Software engineers and designers. YO AI Labs is hiring for this contract position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Quebec
Average salary for Software Engineer in Quebec
Median $161,000 per year, with most postings between $117,658 and $181,000 (Software engineers and designers, 2026-08, 12 postings). This posting advertises $166,400–$249,600.
NOC code
21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A degree in computer science, software engineering or a related field, or equivalent experience, plus demonstrated work in one or more production languages and frameworks.
Licensing: No licence is needed to write software, but the title "engineer" is protected by the provincial engineering regulators; some employers post the same role as "software developer" for that reason.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Full Stack Software Engineering
- Reinforcement Learning
- Model Context Protocol (MCP)
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Design reinforcement learning environments for AI model evaluation
- Create reproducible software engineering task environments
- Develop deterministic verification systems
- Build reference solutions for tasks like bug fixing and feature implementation
- Evaluate AI models on complex software engineering tasks
- Support AI training project development
What you'll need
- Senior-level software engineering experience
- Experience with reinforcement learning or AI training
- Familiarity with Model Context Protocol (MCP) tools
- Ability to work remotely
- Availability for ~15 hours/week on contractor basis