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AI Quality Engineer Position
Job Description & How to Apply Below
Enhance Rootly's AI capabilities as an AI Quality Engineer focused on rigorous testing and evaluation.
Your role will ensure our incident management platform performs flawlessly.
As an AI Quality Engineer, you'll bring over 5 years of experience in QA to Rootly, designing test scenarios and evaluating AI features. You'll be responsible for building frameworks, addressing failure modes, and collaborating with product teams to refine new features. This is an opportunity to leave a significant impact in a high-paced environment.
Key Responsibilities:
• Design and conduct tests covering diverse AI inputs
• Analyze outputs for accuracy and consistency
• Maintain robust test libraries and evaluation standards
• Identify unexpected AI behaviors and develop solutions
• Collaborate on metrics to assess quality and performance
Requirements:
• 5+ years of QA or AI evaluation experience
• Familiarity with testing LLM-powered products
• Capability in prompt engineering and analysis
• Strong written communication for all stakeholder levels
• Knowledge of evaluation methodologies and frameworks
Your expertise in AI will elevate Rootly’s platform and customer satisfaction.
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