AI 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
- British Columbia (BC)More in British Columbia
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 British Columbia. 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 British Columbia
Average salary for Software Engineer in British Columbia
Median $125,394 per year, with most postings between $87,500 and $131,560 (Software engineers and designers, 2026-08, 11 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:
- Reinforcement Learning
- Model Context Protocol (MCP)
- Software Engineering
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
- Create reinforcement learning environments for AI model evaluation
- Evaluate AI models on complex software engineering tasks
- Design reproducible environments
- Implement deterministic verification systems
- Develop reference solutions for tasks such as bug fixing and feature implementation
- Support AI training projects
- Utilize Model Context Protocol (MCP) tools in environment creation
What you'll need
- Senior-level software engineering experience
- Experience with reinforcement learning
- Knowledge of Model Context Protocol (MCP) tools
- Ability to work remotely
- Experience with AI model evaluation
- Strong problem-solving skills for complex software tasks