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Ai Automation Testing Jobs in Ontario (NOW HIRING)

Work closely with the Director of AI on the development of AI agents, copilots, and intelligent automation tools * Assist in building, testing, and fine-tuning large language models and retrieval ...

Use AI coding assistants, LLMs, and agentic frameworks to accelerate automation and testing ... Support containerised environments, infrastructure automation, and artifact management. Collaborate ...

Perform thorough testing of software applications, including functional, regression, performance ... Use Claude and other AI tools to accelerate test case generation, defect analysis, and ...

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Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

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

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

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

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

Infographic showing various Ai Automation Testing job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Position: Software Developer (Agentic AI & Automation) - Intermediate/Senior

Cliniconex, Inc.

Kanata, ON • On-site

CA$75K - CA$120K/yr

Full-time

PTO

Re-posted 28 days ago


Job description

Join Our Team at Cliniconex


Position: Software Developer (Agentic AI & Automation) - Intermediate/Senior

Reporting to:Engineering Manager

Location: Kanata, Ontario (Hybrid)


Meet Cliniconex

At Cliniconex, our focus is our customers, our community and our culture. As a small company, we understand the importance of having a team that connects effectively. Whether it's day-to-day operations or an emergency, teams need to be on the same page, and that's why we make healthcare communication and collaboration solutions that are as easy as 1,2,3. Easy to implement, easy to use and easy to scale.

Our solution reaches audiences via voice, text or email, strengthens teams with a record of all conversations, and unites a family-centred community through timely, transparent outreach. The result? More time to care.


What You'll Be Doing:

As a Software Developer, you'll join forces with our talented engineering team to help build and improve our evolving suite of products on the Automated Care Platform (ACP). At Cliniconex, we are changing how software gets built. Our engineers work hands-on with AI every day - Claude and Codex are core to how we build, and AI is embedded into the products we build, not just how we build them. We're looking for a developer who is already hands-on with agentic development workflows and wants to push that way of working further.


You'll contribute across front-end, back-end, integrations, and cloud-hosted systems. You'll use agentic tools to explore unfamiliar code, break down implementation plans, build features, write tests, investigate bugs, review diffs, and validate real product behavior before it reaches users.


This is an intermediate/senior role for someone who can take a feature from an unclear problem statement through design, implementation, validation, and deployment. You ask good questions, write clearly, verify your work, and understand that AI can accelerate engineering but does not replace accountability. Your work will directly shape products that return time to care for thousands of healthcare teams across North America.


Your Responsibilities:

  • Build and improve product features across our Automated Care Platform and Automated Care Intelligence suite
  • Use Claude Code, OpenAI Codex, and other AI development tools as part of daily software delivery
  • Break down product and technical problems into clear plans that can be executed by humans, AI agents, or both
  • Review, test, and harden AI-generated code before it reaches production
  • Develop reliable front-end and back-end functionality across healthcare communication workflows
  • Build and maintain APIs, services, integrations, and automation workflows
  • Help design and ship AI-powered product features using LLMs, tool-calling, retrieval, evaluation, and human-in-the-loop patterns
  • Validate behavior through automated tests, browser testing, logs, code review, and production-minded debugging
  • Protect patient privacy and system reliability while working in a regulated healthcare environment
  • Help improve internal agentic development workflows, prompts, handoff patterns, validation loops, and engineering automation
  • Communicate clearly through GitHub, written design notes, PR reviews, handoffs, technical discussions, chat, video, and in-person collaboration


Compensation: $75,000 - $120,000 per year


What We're Looking For:

  • Bachelor's degree in computer science, information technology, or engineering, or equivalent practical experience
  • 4+ years of professional software development experience, or equivalent practical experience
  • Real experience using AI-assisted or agentic development tools in software delivery, especially Claude Code and OpenAI Codex
  • The judgment to guide AI agents, inspect their work, catch bad assumptions, and own the final result
  • Experience building web applications with JavaScript, HTML, CSS, and modern front-end patterns
  • Backend development experience, ideally with Java; Flutter/Dart, Python, and Go skills are assets
  • Experience building or consuming REST APIs and working with cloud-hosted systems
  • Familiarity with Google Cloud, Azure, or similar cloud platforms
  • Comfort working with databases such as MySQL, Oracle, MongoDB, or similar systems
  • A security- and privacy-aware mindset, especially around sensitive data
  • Clear written communication and a collaborative approach to engineering work


Bonus Points If You Have:

  • Experience with agentic workflows, RAG, embeddings, evals, or model validation
  • Experience improving developer productivity through automation or internal tools
  • Experience working with healthcare data or in another regulated industry, including privacy frameworks such as PHIPA, Law 25, or HIPAA


Perks of Joining Our Team:

  • Make a Real Impact: Join a mission-driven team that's transforming patient care across North America. Your work will directly contribute to better health outcomes and meaningful change.
  • Flexible Hybrid Work Model: We believe in balance. Enjoy the best of both worlds with a mix of remote work and in-office collaboration.
  • 30 Days of Paid Time Off: Work hard, rest well. We offer a generous PTO policy to support your work-life balance - right from the start.
  • Health & Wellness Budget: Invest in your well-being with an annual budget to support your physical, mental or emotional health.
  • Internet Budget: We provide a budget for home internet expenses so you can stay connected and productive while working from home.
  • Collaborative Culture: Be part of a supportive, dynamic team where every voice is heard, and innovation thrives.
  • Growth & Development: We're committed to your success and encourage you to learn and grow your skills
  • Day-One Benefits & Flexibility: Enjoy comprehensive benefits on your first day!


If you're ready to work hands-on with agentic AI and help build products that make a real difference in healthcare, then this is your moment.


About This Posting:

This posting is not for an existing vacancy. We are accepting applications for anticipated future opportunities and to build our talent pipeline, and we'll be in touch as roles become available.


Equal Opportunity and Accommodations:

Cliniconex is an equal opportunity employer. We encourage applications from individuals of all backgrounds, races, genders, abilities, and identities. Accommodations will be provided at all stages of the selection process. Please contact careers@cliniconex.com for any accommodation requirements.