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GT
Application Architect
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Toronto, ON
- $58 to $70 CAD / hour
- Contract
2 years of experience as an Architect within IT OR 4 years of prior Lead Developer experience
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Toronto, ON
- $68,000 to $75,000 CAD / year
- Full-time
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Toronto, ON
- $68,000 to $75,000 CAD / year
- Full-time
Added just now
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- $175,000 to $183,000 CAD / year
- Full-time
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General Manager - GTA
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- $61,500 to $81,500 CAD / year
- Full-time
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Senior Financial Analyst
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Toronto, ON · Etobicoke, ON
- $100,000 to $115,000 CAD / year
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- Full-time
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Executive Assistant
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…mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
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Role: Jira Service Management Intake Automation Developer
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Senior Manager of Software Engineering
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Process Engineer
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Manager, Customer Support
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Director of HR
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Delivery Manager
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Python Developer
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Added 1 hour ago
AS
Senior Full Stack Developer - Azure
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Senior Full Stack Developer Cloud & Platform Engineering
Added 1 hour ago
NT
Full Stack Developer - SaaS & Quantitative Tools
Northview Technologies
Montreal, QC
- Full-time
We’re looking for a technically strong, curious developer to help build our SaaS platform, bringing together screeners, momentum analysis, market data, quantitative tools, and portfolio…
Added 1 hour ago
T
GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
Added 1 hour ago
K
Senior Manager, Transaction Services
KPMG
Vancouver, BC
- Full-time
Added 1 hour ago
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TechDoQuest

GenAI Prompt Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 11, 2026
Posting language: English
Posted: Oct 12, 2026

Original job description

Key Responsibilities:

Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.

AI Response Validation: Analyze and validate AI-generated outputs to ensure they meet quality standards, are contextually appropriate, and align with user needs.

Test Case Development: Create and execute comprehensive test cases for AI generated responses, assessing robustness, accuracy, and user experience.

Iteration and Feedback: Provide structured feedback to improve AI model behavior, performance, and overall functionality.

Collaboration: Work closely with cross-functional teams including data scientists, engineers, and product managers to implement and test improvements.

Experience:

5-8 years of professional experience in software development or automation testing.

Minimum 1 year of hands-on experience with generative AI technologies, large language models (LLMs), or GPT-based systems.

Strong understanding of natural language processing (NLP) principles.

Proficiency in programming languages such as Python, JavaScript, or similar tools.

Experience with automation frameworks and test scripting.

Familiarity with AI and ML workflows is a plus.

Strong analytical and problem-solving skills

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More about this job

Responsibilities

Design and refine prompts for generative AI systems, validate AI-generated responses, and develop test cases to assess accuracy, robustness, and user experience. Provide structured feedback and collaborate with data scientists, engineers, and product managers to improve AI model behavior and functionality.

Requirements

Requires 5–8 years of professional experience in software development or automation testing, including at least one year of hands-on experience with generative AI, LLMs, or GPT-based systems. Candidates should understand NLP principles and have programming and automation test scripting experience; familiarity with AI and ML workflows is a plus.

Skills

Prompt Engineering
Generative AI
Large Language Models
Natural Language Processing
Python
JavaScript
Automation Testing
Test Case Development
AI Response Validation
Quality Assurance
AI Model Evaluation
Analytical Skills
Problem-Solving
Cross-Functional Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Prompt Engineering
Large Language Models
GPT-Based Systems
Natural Language Processing
Python
JavaScript
Software Development
Automation Testing
Automation Frameworks
Test Scripting
Test Case Development
AI Response Validation
AI-Generated Outputs
Quality Standards
AI Model Behavior
AI Workflows
Machine Learning Workflows
Robustness Testing
User Experience
Data Scientists
Cross-Functional Collaboration

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