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Generative Ai Testing Jobs in Ontario (NOW HIRING)

Develop solutions using Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation ... Experience supporting solutions through testing, deployment, operational support, and continuous ...

Develop solutions using Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation ... Experience supporting solutions through testing, deployment, operational support, and continuous ...

Data Scientist, AI & Generative AI John Hancock | Boston, MA / Toronto, ON Shape the Future of AI ... Familiarity with MLOps practices, CI/CD pipelines, automated testing, Git version control, and ...

Citi's global AI platforms team is seeking a versatile Python AI Engineer to spearhead the design ... generative models. Adhere to and contribute to the development of robust coding standards, testing ...

Experience with LLMs & Generative AI * RAG pipelines & Vector Databases * Deep Learning frameworks ... Implement MLOps pipelines for training, testing, and serving models * Optimize cluster performance ...

Are you excited about shaping the next generation of AI-powered legal technology through generative ... Experience implementing automated unit, integration, regression, and end-to-end testing using tools ...

Are you excited about shaping the next generation of AI-powered legal technology through generative ... Experience implementing automated unit, integration, regression, and end-to-end testing using tools ...

CA$142K - CA$158K/yr

Perform validation and verification testing in a test‑driven manner * Review the work of others ... BSc/BA in Computer Science or a related degree Generative AI Code Assistants Use of Generative AI ...

Establish MLOps best practices and mentor team members on model deployment, A/B testing, drift ... and Generative AI platforms from other cloud providers for model deployment and serving.

... Generative AI, LLMs, cloud-native development, and modern software engineering . This individual ... Strong understanding of software engineering best practices, including API design, unit testing ...

CA$120K - CA$170K/yr

Exposure to Python and Generative AI technologies is highly desirable to support innovation ... development, testing, implementation, and production support. Utilize in-depth application ...

Showing results 41-60

Generative Ai Testing information

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What are popular job titles related to Generative Ai Testing jobs in Ontario?

For Generative Ai Testing jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Ontario look for?

The top searched job categories for Generative Ai Testing jobs in Ontario are:

What cities in Ontario are hiring for Generative Ai Testing jobs?

Cities in Ontario with the most Generative Ai Testing job openings:

Infographic showing various Generative Ai Testing job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Full-time

Posted 12 days ago


Job description

Being a part of BrokerLink, means you live our values: to act with integrity, be respectful of others, have a customer-driven mindset, strive for excellence and always treat others with generosity. These values drive our diversity and inclusion efforts to ensure a respectful and inclusive work environment is present.

We want like-minded individuals who want to provide the highest level of customer service, who carry themselves with utmost professionalism.

We want to invest in you! Your success is our success and our purpose of "we're here to help people" is what motivates us to keep the amazing talent we attract, for a long time. We want to bring out the best of all our team members! Offering countless opportunities to grow and an environment which values our most important assets, you, our team members. We have over 200 offices across Canada, ask us about our flexible work arrangements!

Pay at BrokerLink is about much more than just salary.

- Flexible work arrangements

- Multiple benefits offered to support physical and mental wellbeing, Wellness account and much more

- Share plan & other savings

Salary range (but not limited to):

94,200 - 115,200

Incentive plan

Annual bonus: 10% target, based on the base salary, with a potential payout of up to 200% (subject to personal and company performance)

As part of our commitment to Win As A Team, we share our success with employees through our incentive programs and Employee Share Purchase Plan (ESPP) - with BrokerLink matching a portion of your contributions.

Our Group RRSP, with company matching DPSP offerings provide flexibility and long-term security for our employees beyond their careers.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, location etc. The salary range presented below is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

We're looking for an AI Developer II to join our growing team!

What you'll do here:

AI Solution Development

  • Design, build, test, and deploy AI-powered applications, services, and workflow solutions.
  • Develop solutions using Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent document processing, and conversational AI.
  • Create reusable AI components, patterns, prompts, integrations, and accelerators that can be applied across multiple business use cases.
  • Implement prompt engineering, orchestration logic, agent-style workflows, and human-in-the-loop review patterns where appropriate.
  • Prepare, transform, and manage structured and unstructured data used by AI-enabled solutions.

Automation & Process Improvement

  • Partner with business teams to identify manual, repetitive, or high-friction processes that can be improved through automation or AI.
  • Develop intelligent workflow solutions using Microsoft Power Platform, Microsoft Copilot, Azure AI services, APIs, scripts, and custom applications.
  • Translate business requirements into practical technical designs, prototypes, pilots, and production-ready solutions.
  • Define and track business value measures such as time saved, volume processed, quality improvement, adoption, and operational efficiency.


What you bring to the table:

  • 5+ years of experience developing software, automation, integration, or AI-enabled solutions.
  • Hands-on experience building applications or workflows using modern development frameworks, APIs, cloud services, and enterprise platforms.
  • Experience working with business stakeholders to convert operational problems into technical solutions.
  • Experience supporting solutions through testing, deployment, operational support, and continuous improvement.
  • Proficiency with Python, C#, JavaScript, or similar programming languages.
  • Experience with REST APIs, integration development, data transformation, and service-based architectures.
  • Experience with Microsoft Power Platform, including Power Automate and/or Power Apps.
  • Experience with Azure services such as Azure AI Services, Azure OpenAI, Azure Functions, Logic Apps, or related cloud capabilities.
  • Understanding of generative AI, LLMs, prompt engineering, RAG patterns, semantic search, and AI orchestration concepts.
  • Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI).
  • Familiarity with Git, CI/CD pipelines, DevOps practices, testing approaches, and release management.
This position will fill an essential role in our team.


We are an equal opportunity employer

BrokerLink is committed to providing an accessible environment. Accommodations are available on request for candidates taking part in the selection process.

BrokerLink is committed to creating and maintaining an inclusive environment which embraces our diversities and sees them as our strength! We want to foster a workplace that makes all our team members and customers feel welcome and appreciated.

Discover more about BrokerLink! Visit our new dedicated Webpage.

Please note that BrokerLink does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

At BrokerLink, we value diversity and are committed to creating an inclusive workplace that inspires each of us to be the best we can be. Join our team and make a difference!