Quality Engineer (QE) SDET AI Chatbot

Job summary

Validate chatbot responses for accuracy, relevance, completeness, and consistency, and identify hallucinations, formatting issues, and knowledge gaps. Create and maintain test scenarios, regression suites, and automation; analyze conversations, report defects and quality metrics, and support UAT, releases, and production monitoring.

Job details

Essential Skills: Job TitleQuality Engineer (QE) SDET AI Chatbot ValidationKey Roles ResponsibilitiesValidate 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 conceptsExperience 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 for accuracy, relevance, completeness, and consistency, and identify hallucinations, formatting issues, and knowledge gaps. Create and maintain test scenarios, regression suites, and automation; analyze conversations, report defects and quality metrics, and support UAT, releases, 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, API testing, automation frameworks, and tools such as Python, Selenium, Playwright, PyTest, Jira, Confluence, and GitHub, with strong analytical, communication, and documentation skills.

Listed skills

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

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Quality Assurance
• SDET
• Test Automation
• AI Chatbot Validation
• LLM Testing
• Generative AI
• Prompt Engineering
• Test Scenario Design
• Regression Testing
• API Testing
• Python
• Selenium
• Playwright
• PyTest
• Jira
• Agile

Job areas

• Software
• Technology
• Engineering

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