Software Development Engineer in Test – GenAI / LLM

Job summary

Validate chatbot responses for accuracy, relevance, completeness, and consistency; create and execute test scenarios, cases, and regression suites; and identify hallucinations, defects, formatting issues, and knowledge gaps. Develop chatbot test automation, collaborate with development, AI, and content teams to resolve issues, report quality metrics, and support UAT, release validation, and production monitoring.

Job details

Software Development Engineer in Test – GenAI / LLM Role Description Work Arrangement: 1 day onsite per week Experience Required: 6–8 years 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 years 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. Essential Skills QA SDET and test automation. AI, LLM, GenAI, chatbots, and conversational platforms. Prompt engineering concepts. API testing and automation frameworks. Python, Selenium, Playwright, or PyTest. Jira, Confluence, GitHub, and Agile delivery. Analytical and troubleshooting skills. Communication and documentation skills. Desirable Skills Digital: Python Digital: Chatbots / Conversational Agents Generative AI – Quality Engineering

What you’ll do

Validate chatbot responses for accuracy, relevance, completeness, and consistency; create and execute test scenarios, cases, and regression suites; and identify hallucinations, defects, formatting issues, and knowledge gaps. Develop chatbot test automation, collaborate with development, AI, and content teams to resolve issues, report quality metrics, and support UAT, release validation, and production monitoring.

Requirements

Requires 6–8 years of experience, including strong QA SDET and test automation experience, plus experience testing AI, LLM, GenAI, chatbot, or conversational platforms. Candidates should know prompt engineering, API testing, Python and relevant automation tools, Jira, Confluence, GitHub, and Agile delivery, and have strong analytical, troubleshooting, communication, and documentation skills.

Listed skills

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

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Quality Assurance
• Software Development Engineer in Test
• Test Automation
• Generative AI
• Large Language Models
• Chatbot Testing
• Prompt Engineering
• API Testing
• Python
• Selenium
• Playwright
• PyTest
• Jira
• Confluence
• GitHub
• Agile Delivery

Job areas

• Software
• Technology
• Engineering

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