Software quality engineer (UK)

Key details

• Define and implement comprehensive quality assurance strategies and test plans for AI agents and LLM-powered applications
• Design and develop robust, scalable, and maintainable automated test frameworks from scratch or enhance existing ones
• Collaborate closely with product managers, machine learning engineers, and data scientists to translate complex AI features and model behaviors into effective test cases and validation criteria
• Drive continuous improvement of testing processes and infrastructure, integrating automated checks within CI/CD pipelines
• Identify, document, and track software defects and inconsistencies, performing root cause analysis and providing actionable feedback
• Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation
• Champion quality best practices across engineering teams and foster a culture of ownership and continuous improvement
• Design, manage, and maintain test data strategies and mock services for stable, isolated, and repeatable test execution
• Design, develop, or integrate agentic AI systems, AI skills, and the Model Context Protocol (MCP)
• Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs
• Company mission
• Information not specified