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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

Quality Engineer (QE) / SDET – AI Chatbot Validation

Toronto Hybrid ON ,

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.

Thanks & regards,

Lakshmi Bhavani ,

Apptoza Inc.

Phone: 678-392-3978 Ext 4640

Phone: 437-291-3224 Ext 1105

Mail id : Lakshmi.bhavani@apptoza.com

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More about this job

Responsibilities

Design and execute functional, integration, regression, API, and AI-focused tests, while building scalable automation frameworks and integrating quality checks into CI/CD pipelines. Analyze defects, test coverage, AI evaluation results, and production feedback, and communicate quality risks and release recommendations to stakeholders.

Requirements

Requires 5+ years of quality engineering or related experience, programming experience, and experience building test automation frameworks. Candidates should have hands-on experience testing AI or chatbot applications, automation tools, APIs and integrations, and understand AI quality concepts and Agile testing practices.

Skills

Quality Engineering
Test Automation
Java
Python
Groovy
AI Chatbot Validation
LLM Testing
Selenium
Playwright
Cucumber/Gherkin
API Testing
CI/CD
JUnit
TestNG
JMeter
Agile

Visa sponsorship

Not detected in the job text

Hiring contact

Lakshmi Bhavani

Hiring contact email

Lakshmi.bhavani@apptoza.com

Keywords

Quality Engineering
AI Chatbot Validation
Artificial Intelligence
Machine Learning
Large Language Models
Prompt Evaluation
Hallucination Detection
Grounding
Accuracy
Relevance
Toxicity
Bias
Response Consistency
Test Automation Frameworks
Java
Python
Groovy
Selenium
Cucumber/Gherkin
Playwright
RestAssured
JUnit
TestNG
ReadyAPI
JMeter
CI/CD
DevOps
Jenkins
Kubernetes

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