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Senior QA Automation Engineer (Artificial Intelligence)

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Onsite

Senior QA Automation Engineer (Artificial Intelligence)

Anaplan

Senior QA Automation Engineer (Artificial Intelligence)

Skills

PythonTesting & QAPostmanSeleniumAIJavascript

14 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

7 October 2026

What they need


  • We’re pioneering a new role focused exclusively on quality assurance for GenAI/Agentic systems. As our Senior SDET for AI, you’ll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy
  • Design and architect comprehensive test plans, evaluation frameworks, and quality metrics designed specifically for LLM-powered applications and agentic workflows
  • Develop robust, end-to-end automated test suites in Python across evaluations, API checks, UI checks, and performance tests
  • Create automated prompt testing systems and regression suites to proactively detect unintended changes in model behaviour
  • Establish multi-dimensional evaluation criteria to measure and track GenAI quality across accuracy, relevance, safety, consistency, and latency
  • Perform adversarial testing (red-teaming) to identify and mitigate model hallucinations, biases, or security vulnerabilities
  • Develop internal tools and testing frameworks that enable software engineering teams to seamlessly validate their own GenAI implementations
  • Deploy real-time monitoring and alerting systems to quickly detect and flag quality degradation of AI features in production
  • Own the overall quality and testing strategy for your workstream, maintaining high-fidelity test datasets (“golden examples”) and defining QA best practices- Deep understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns
  • Strong hands-on Python coding experience
  • Strong analytical and problem-solving skills with attention to detail
  • Strong experience with CI/CD pipelines and automated testing integration
  • Strong background of software testing methodologies (functional, integration, regression, performance, security testing)
  • Proven ability to design test cases and evaluation criteria for non-deterministic systems
  • Expert experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)
  • Experience with API testing tools (Postman, REST Assured) and backend testing

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