QA Automation Engineer - GenAI & AI Testing
Role details
Job location
Tech stack
Job description
Design and develop scalable automation frameworks for web and API testing Build, maintain, and optimise automated test suites using tools such as Selenium, Playwright, or Cypress Develop AI-assisted test cases using LLMs and prompt engineering techniques Contribute to agent-based testing workflows using frameworks like LangChain or AutoGen Integrate automation into CI/CD pipelines (e.g., Jenkins, GitHub Actions) Collaborate with development and product teams to enhance test coverage and quality Explore and implement intelligent and self-healing test automation solutions
Requirements
We are seeking a skilled QA Automation Engineer with exposure to Generative AI technologies. This role is ideal for professionals who have a strong foundation in automation testing and are eager to apply AI in real-world testing scenarios, including LLM-powered test generation and intelligent automation workflows., Strong experience in test automation (UI and/or API testing) Proficiency in Python, JavaScript, or Java Hands-on experience with Selenium, Playwright, or Cypress Familiarity with CI/CD pipelines and version control systems (e.g., Git) Exposure to Generative AI / LLMs (e.g., working with APIs such as OpenAI GPT models) Solid understanding of QA methodologies and software testing principles, Experience with prompt engineering or LLM-based workflows Knowledge of AI testing techniques (e.g., hallucination detection, output validation) Familiarity with vector databases and embeddings Experience with AI-assisted development tools (e.g., GitHub Copilot)
What We're Looking For A proactive problem-solver with a strong engineering mindset Someone curious about AI and passionate about applying it in testing An automation-first thinker focused on continuous improvement
Benefits & conditions
Competitive salary based on experience UK visa sponsorship for eligible candidates Opportunity to work on advanced AI-driven testing systems Flexible and hybrid working environment Strong career growth opportunities in the evolving AI and QA domain