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Model Context Protocol Jobs in Toronto, ON (NOW HIRING)

YO AI Labs

AI Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

Machine Learning Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

RL Environment Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

AI/ML Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

Backend Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

AI Technical Trainer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

Frontend Developer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

Backend Developer - Remote

Toronto, ON · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

Charger Logistics Inc

AI Engineer

Brampton, ON · On-site

This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows-dispatch, billing, compliance, and fleet operations-improving ...

Charger Logistics Inc

Senior AI Engineer

Brampton, ON · On-site

This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows-dispatch, billing, compliance, and fleet operations-improving ...

Charger Logistics Inc

Senior AI Engineer

Brampton, ON · On-site

This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows--dispatch, billing, compliance, and fleet operations--improving ...

Royal Bank of Canada

Lead AI Engineer

Toronto, ON · On-site

Lead the design and development of MCP (Model Context Protocol) servers and tools for seamless AI integration * Design and implement AI-driven automation solutions, including LLM-powered automation ...

Royal Bank of Canada

Senior AI Engineer

Toronto, ON · On-site

Design and build MCP (Model Context Protocol) servers and tools for seamless AI integration * Design and implement AI-driven automation solutions, including LLM-powered automation, prompt engineering ...

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Showing results 21-40

All JobsModel Context Protocol JobsModel Context Protocol Jobs in Toronto, ON

Model Context Protocol information

What is the difference between Model Context Protocol vs Data Analyst?

AspectModel Context ProtocolData Analyst
Required CredentialsKnowledge of data modeling, API protocols, and software developmentBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTechnical teams, software development, AI/ML projectsBusiness intelligence, reporting, data visualization
Industry UsageTech, AI, software developmentFinance, marketing, healthcare, business
Search & Comparison IntentUnderstanding technical protocols for AI modelsAnalyzing data for insights and decision-making

The Model Context Protocol focuses on technical data exchange and AI model integration, requiring programming and API knowledge. In contrast, Data Analysts interpret data to generate reports and insights, often working with business tools. Both roles involve data but serve different functions within organizations.

What job categories do people searching Model Context Protocol jobs in Toronto, ON look for?

The top searched job categories for Model Context Protocol jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Model Context Protocol jobs?

Cities near Toronto, ON with the most Model Context Protocol job openings:

Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Agent Evaluation Engineer - Remote

YO AI Labs

Toronto, ON • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.