Contract jobs in Canada

Explore contract jobs across Canada. Choose a location and read the full job details.

18,332 listings · 4,808 employers Counted Oct 26, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (941 listings), Insight Global (300 listings), Actalent (193 listings).

Common roles: Project manager, Childcare provider, Sales representative.

5,291 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	29.41	4,197
CAD / year	70,000.00	754
USD / hour	45.00	154
USD / year	60,000.00	39
CAD / month	4,500.00	15

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 3% remote, 24% hybrid, 74% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Contract jobs in Canada

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Direct IT Recruiting Inc.

AI Tooling Developer (1897) 90-100hr

Toronto, ON, Canada

$90 to $100 CAD / hour · Contract

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Applications open in a new tab.

Job details

Pay: $90 to $100 CAD / hour
Job type: Contract
Apply by: Nov 6, 2026
Experience: 5+ years of hands-on Python experience, proficiency in Git-based workflows and API integrations.
Working hours: 40 hours per week
Posting language: English
Posted: Oct 7, 2026

Original job description

Location: Toronto, Ontario (Hybrid - three days onsite per week)

Contract Term: 14 months

Hours: 40 hours per week

Hourly Rate: $90–$100/hr

Skills: 5+ years Python, Git workflows, API integration, LLM, Model Context Protocol (MCP), Claude, Enterprise ChatGPT, OAuth, SSO, Agile

Industry: Banking

DESCRIPTION:

The AI Tooling Developer is a hands-on technical role within the AI team, responsible for supporting enterprise assistant platforms and the systems that connect them to organizational data and workflows. The successful candidate will design and maintain custom connectors to internal systems, develop a governed library of reusable skills and prompt assets, establish secure frameworks for exposing internal data, and provide practical technical support to business users across the organization.

RESPONSIBILITIES:

Design, build, and maintain custom Model Context Protocol (MCP) connectors that provide approved AI assistants with secure access to internal systems.
Determine the appropriate deployment model - organization-scoped remote connectors or locally run desktop extensions - based on data sensitivity, security requirements, and business needs.
Implement secure authentication and authorization using OAuth, per-user entitlements, narrowly scoped tools, and read-only access by default.
Instrument connectors with logging and monitoring, and maintain clear documentation, support procedures, and iterative enhancements as source systems evolve.
Develop, test, and maintain a vetted library of reusable AI skills that encode organization-specific procedures, templates, and domain knowledge, including investment memo formats, model conventions, and policy checklists.
Manage the skills repository and its lifecycle, including version control, quality standards, review and approval processes, assigned ownership, deprecation, and controlled distribution to appropriate user groups.
Build evaluation and regression-testing capabilities to ensure skills and connectors continue to perform reliably as underlying models and platforms change.
Establish reference architecture, security baselines, and approval pathways for exposing internal data through MCP, in partnership with Information Security, Data Governance, Privacy, and Legal.
Serve as the organization’s hands-on subject-matter expert for Claude - including Desktop, Projects, Skills, and connectors - and Enterprise ChatGPT, including connectors and agent features.
Monitor platform releases and translate new capabilities into practical recommendations on what the organization should adopt, pilot, or avoid.
Lead office hours and working sessions for users across investment and corporate divisions, translating workflow challenges into practical, buildable solutions.
Partner with the AI adoption and training function by providing technical content, demonstrations, and guardrails for curricula and the superuser network.
Perform other duties as required.

REQUIREMENTS:

5+ years of hands-on Python experience, proficiency in Git-based workflows and API integrations.
Direct experience developing solutions on LLM large language model platforms, including tool use, agentic patterns, retrieval, and evaluation.
Experience with MCP is a strong differentiator; comparable experience in enterprise integrations, APIs, or AI tooling may be considered.
Working knowledge of enterprise security and identity concepts, including OAuth, SSO, access scoping, entitlements, data classification, and audit logging.
Strong technical writing skills, with the ability to create clear instructions that can be followed reliably by both people and AI models.
Demonstrated ability to work directly with investment and corporate professionals and translate workflow challenges into practical technical solutions.
Experience in financial services or another regulated industry is considered an asset.

Note: AI-enabled systems may be used to support the initial screening of applications.

To Apply: https://directitrecruiting.com/job/ai-tooling-dev-1897/

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More about this job

Responsibilities

Build and maintain secure MCP connectors and a governed library of reusable AI skills, including authentication, monitoring, documentation, and testing. Advise on Claude and Enterprise ChatGPT, establish data-access security practices, and help business users turn workflow challenges into practical technical solutions.

Requirements

Requires 5+ years of hands-on Python experience, proficiency with Git workflows and API integrations, and direct experience building solutions on LLM platforms. Candidates should understand enterprise security and identity concepts, write clear technical documentation, and be able to translate business workflows into technical solutions; regulated-industry experience is an asset.

Skills

Python
Git Workflows
API Integration
Large Language Models
Model Context Protocol
Claude
Enterprise ChatGPT
OAuth
Single Sign-On
Enterprise Security
Identity and Access Management
Technical Writing
Evaluation and Regression Testing
Agile

Visa sponsorship

Not detected in the job text

Keywords

Python
Git
API Integration
Large Language Models
Model Context Protocol
MCP Connectors
Claude
Claude Desktop
Claude Projects
Claude Skills
Enterprise ChatGPT
OAuth
Single Sign-On
Authentication
Authorization
User Entitlements
Access Scoping
Data Classification
Audit Logging
Agentic Patterns
Retrieval
Evaluation
Regression Testing
Information Security
Data Governance
Privacy
Financial Services
Banking
Agile
Investment Workflows

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