AI Automation QA

The Automation QA Engineer defines, implements, and continuously improves quality assurance practices for AI enabled and agent based solutions. The role ensures systems meet agreed standards for accuracy, reliability, performance, safety, and compliance, and supports operational readiness through automated evaluation and monitoring.
 

The role:

• Definition and execution of testing and quality assurance strategies for AI enabled workflows
• Continuous evaluation and monitoring of system behavior in production environments
• Contribution to auditability, risk management, and continuous quality improvement
• Define quality criteria and testing strategies for agent workflows, covering accuracy, latency, safety, compliance, and operational risk
• Build automated evaluation harnesses to assess agent performance, including hallucination rates, tool misuse, policy violations, and task        success
• Implement continuous production monitoring to detect anomalies, quality degradation, and emerging safety concerns
• Develop and maintain automated test suites using Playwright for UI testing and custom scripts for API and workflow validation
• Apply LLM evaluation frameworks to assess output quality, regression, and system drift over time
• Produce and maintain dashboards and reports that communicate quality metrics and trends to engineering and stakeholders
• Develop and maintain runbooks for common failure modes and contribute to incident response activities
• Collaborate closely with developers to improve prompts, tool definitions, and workflow designs based on test results
• Ensure testing, logging, and monitoring practices align with data privacy, audit, and regulatory requirements
   

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