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Apptoza Inc.

Quality Engineer (QE) / SDET – AI Chatbot Validation

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Role - Quality Engineer (QE) / SDET – AI Chatbot Validation

Location - Toronto, ON

Job Title

Quality Engineer (QE) / SDET – AI Chatbot Validation Job Description:

We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team live quality values and principles. The DevOps team is responsible for providing pipelines, metrics and tools for use by application development teams. The incumbent will actively participate in gathering quality criteria from the user community, developing a backlog of items, prioritizing them with the teams and delivering them continually.

What You Will Do:

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, AI chatbot response validation, 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.

What You Will Need to Succeed:

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.

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

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.

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

Partner with DevOps, development, product, and quality engineering teams to define quality strategies and deliver functional, integration, API, regression, and acceptance testing. Build and integrate automation and AI evaluation into CI/CD pipelines, assess chatbot quality and risks, track defects, and communicate quality metrics and release recommendations.

Requirements

Requires at least five years of quality engineering, programming, and test automation framework experience, with hands-on skills in Java, Python, Groovy, or a comparable language. Candidates should have experience testing AI or chatbot applications, APIs, integrations, and microservices, and understand AI quality evaluation, test methodologies, and Agile collaboration.

Skills

Quality Engineering
Test Automation
Java
Python
Groovy
AI Chatbot Validation
LLM Testing
Selenium
Playwright
Cucumber/Gherkin
API Testing
CI/CD
AI Evaluation
Microservices
Agile
Performance Testing

Visa sponsorship

Not detected in the job text

Keywords

Quality Engineering
AI Chatbot Validation
Test Automation
Java
Python
Groovy
Selenium
Cucumber/Gherkin
Playwright
RestAssured
JUnit
TestNG
ReadyAPI
JMeter
CI/CD
DevOps
LLM Testing
Prompt Evaluation
Hallucination Detection
Retrieval-Augmented Generation
Microservices
API Testing
TDD
ATDD
BDD
Risk-Based Testing
Jenkins
Kubernetes
CSTE Certification

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