BullTechSystem

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BullTechSystem

AI Quality Engineer / AI Test Automation Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 11, 2026
Posting language: English
Posted: Nov 11, 2026

Original job description

Roles and Responsibilities:

Partner with DevOps, Development, Product, and QE teams to design and execute exploratory, automated, and AI-focused tests that ensure product quality.

Define quality strategies, test plans, test cases, and test data for functional, integration, system, regression, API, database, and acceptance testing.

Design, develop, and maintain scalable test automation frameworks using Java, Python, or Groovy.

Build automated tests for AI-enabled features, including prompt behavior, response accuracy, hallucination risks, safety, reliability, latency, and regression coverage.

Validate AI integrations, APIs, microservices, data pipelines, model interactions, and third-party services.

Establish testing approaches for both deterministic and non-deterministic AI behavior, including evaluation datasets, expected behavior, quality thresholds, and repeatability.

Integrate automated testing and AI quality checks into CI/CD pipelines in partnership with DevOps teams.

Use tools and frameworks such as Selenium, Cucumber/Gherkin, Playwright, RestAssured, JUnit, TestNG, ReadyAPI, and JMeter.

Identify, document, prioritize, and track defects through resolution.

Analyze test coverage, quality trends, AI evaluation results, and production feedback to identify gaps and drive continuous improvement.

Collaborate with cross-functional Agile teams to deliver reliable, secure, and user-focused product features.

Communicate test results, risks, quality metrics, and release recommendations clearly to technical and non-technical stakeholders.

Required Skills:

5+ years of relevant experience in Quality Engineering, Quality Assurance, test automation, or software development.

5+ years of programming experience with Java, Python, Groovy, or a comparable language.

5+ years of experience building and maintaining test automation frameworks.

Hands-on experience with Selenium, Cucumber/Gherkin, Playwright, RestAssured, or similar automation technologies.

Experience testing functional and non-functional requirements, APIs, integrations, databases, microservices, and regression suites.

Experience with testing frameworks and tools such as JUnit, TestNG, qTest, ReadyAPI, and JMeter.

Understanding of TDD, ATDD, BDD, continuous testing, and risk-based testing practices.

Experience testing AI or machine learning-powered applications, APIs, conversational systems, or generative AI features.

Understanding of AI quality concepts such as prompt evaluation, grounding, accuracy, relevance, toxicity, bias, hallucination detection, and response consistency.

Ability to create effective test data and evaluation datasets for AI-driven functionality.

Strong analytical, problem-solving, communication, and technical documentation skills.

Ability to work effectively in a fast-paced, cross-functional Agile environment.

Nice to Have:

Experience with AI evaluation frameworks, LLM testing, prompt engineering, retrieval-augmented generation, embeddings, or model observability.

Experience with Git, Bitbucket, Jenkins, CI/CD pipelines, Artifactory, SonarQube, Jira, Confluence, AWS, Kubernetes, Maven, or Gradle.

Experience testing cloud-native applications and distributed microservice architectures.

Experience with security, performance, accessibility, or reliability testing.

Experience developing automation scripts and reusable testing utilities.

Experience with Tableau or other analytics and visualization platforms.

CSTE certification or an equivalent quality engineering certification.

Experience working directly with DevOps teams to implement automated quality gates and release controls.

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More about this job

Responsibilities

Design and execute functional, integration, API, regression, and AI-focused tests, while building scalable automation frameworks and integrating quality checks into CI/CD pipelines. Evaluate AI behavior for accuracy, safety, reliability, consistency, and performance; track defects, analyze quality results, and communicate risks and release recommendations to stakeholders.

Requirements

Requires at least five years of relevant quality engineering or software development experience, programming experience, and experience building test automation frameworks. Candidates should have hands-on automation and API testing experience, knowledge of testing methodologies, and experience evaluating AI or machine learning applications and their quality characteristics.

Skills

Quality Engineering
Test Automation
Java
Python
Groovy
AI Testing
Machine Learning Testing
Selenium
Playwright
Cucumber/Gherkin
API Testing
CI/CD
Test Strategy
Risk-Based Testing
Agile
AI Evaluation

Visa sponsorship

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Keywords

Quality Engineering
Quality Assurance
Test Automation
Java
Python
Groovy
Selenium
Cucumber/Gherkin
Playwright
RestAssured
JUnit
TestNG
ReadyAPI
JMeter
qTest
AI Testing
Machine Learning
Generative AI
Prompt Evaluation
Hallucination Detection
Retrieval-Augmented Generation
CI/CD
Jenkins
AWS
Kubernetes
TDD
ATDD
BDD
Risk-Based Testing
Agile

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