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AI Chatbot Quality Engineer

  • Brampton, ON
  • Hybrid
  • Posted Oct 16, 2026
  • 1 position

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Employment type
Contract
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Validate chatbot responses and analyze conversations for accuracy, relevance, completeness, consistency, hallucinations, and knowledge gaps. Create and automate test scenarios and regression suites, document and report defects and quality metrics, and support defect resolution, UAT, release validation, and production monitoring.

Job details

Role: AI Chatbot Quality Engineer Location: Brampton, ON – Hybrid Contract Role Job Description 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 Skillsets5 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.

What you’ll do

Validate chatbot responses and analyze conversations for accuracy, relevance, completeness, consistency, hallucinations, and knowledge gaps. Create and automate test scenarios and regression suites, document and report defects and quality metrics, and support defect resolution, UAT, release validation, and production monitoring.

Requirements

Requires five 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, have experience with tools such as Python, Selenium, Playwright, or PyTest and Jira, Confluence, GitHub, and Agile delivery, and demonstrate strong analytical, troubleshooting, communication, and documentation skills.

Listed skills

  • GitHub · Preferred
  • Quality assurance · Preferred
  • Jira · Preferred
  • Agile · Preferred
  • prompt engineering · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Quality Assurance
  • Test Automation
  • AI Testing
  • LLM Testing
  • Generative AI
  • Chatbot Testing
  • Prompt Engineering
  • API Testing
  • Python
  • Selenium
  • Playwright
  • PyTest
  • Jira
  • Confluence
  • GitHub
  • Agile

Job areas

  • Technology
  • Software
  • Engineering

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