Closed listing
Quality Engineer / SDET – AI Chatbot Validation
- Toronto, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Key Roles & Responsibilities
- Validate chatbot responses for accuracy, relevance, completeness, and consistency.
- Create and execute test scenarios, test cases, and regression test suites.
- Identify hallucinations, incorrect responses, formatting issues, and knowledge gaps.
- Perform chatbot conversation analysis and recommend quality improvements.
- Develop and maintain test automation for chatbot validation where possible.
- Work closely with developers, AI engineers, and content teams to resolve defects.
- Track, document, and report defects, test results, and quality metrics.
- Support UAT, release validation, and production quality monitoring.Key Skillsets
- 5+ Yrs of strong QA / SDET / Test Automation experience.
- Experience testing AI, LLM, GenAI, chatbots, virtual assistants, or conversational platforms.
- Knowledge of prompt engineering concepts
- Experience with Jira, Confluence, GitHub, and Agile delivery.
- Experience with API testing and automation frameworks.
- Strong analytical and troubleshooting skills.
- Experience with Python, Selenium, Playwright, PyTest, or similar tools.
- Strong communication and documentation skills validating chatbot responses
More about this job
Responsibilities
Validate chatbot responses and conversations for accuracy, relevance, completeness, consistency, hallucinations, formatting issues, and knowledge gaps. Create and automate test scenarios and regression suites, collaborate with technical and content teams to resolve defects, and report quality results while supporting UAT, releases, and production monitoring.
Requirements
Requires 5+ years of QA, SDET, or test automation experience, including experience testing AI, LLM, generative AI, chatbot, virtual assistant, or conversational platforms. Candidates should know prompt engineering and API testing, be familiar with Agile tools and automation frameworks such as Python, Selenium, Playwright, or PyTest, and have strong analytical, communication, and documentation skills.
Skills
- Quality Assurance
- Test Automation
- AI and LLM Testing
- Chatbot Validation
- Prompt Engineering
- API Testing
- Python
- Selenium
- Playwright
- PyTest
- Jira
- Confluence
- GitHub
- Agile Delivery
- Analytical and Troubleshooting Skills
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
Keywords
- Quality Assurance
- Test Automation
- AI
- LLM
- Generative AI
- Chatbot Validation
- Virtual Assistants
- Conversational Platforms
- Prompt Engineering
- Test Scenarios
- Test Cases
- Regression Testing
- Conversation Analysis
- API Testing
- Python
- Selenium
- Playwright
- PyTest
- Jira
- Confluence
- GitHub
- Agile
- User Acceptance Testing
- Release Validation
- Production Quality Monitoring
- Defect Tracking
- Quality Metrics