Software quality engineer (UK)

Responsibilities

We are representing a confidential AI technology organization seeking a software quality engineer to join their London hub. In this role, you will:

• Define and implement comprehensive quality assurance strategies and test plans for AI-powered applications, ensuring exceptional product reliability and performance
• Design and develop automation frameworks using TypeScript or Python, creating robust, scalable, and maintainable automated test solutions from scratch or enhancing existing frameworks
• Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria
• Drive continuous improvement of testing processes and infrastructure, integrating automated checks within CI/CD pipelines to ensure rapid, high-quality releases
• Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams
• 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, fostering a culture of ownership and continuous improvement
• Design, manage, and maintain test data strategies and mock services to ensure stable, isolated, and repeatable test execution
• Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs

What we're looking for

• 5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications
• 5+ years of experience working with GitHub Actions
• Proficiency in programming languages like Python or TypeScript for test automation, and experience with modern testing frameworks such as Playwright
• Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is highly valued
• Exceptional analytical skills to dissect complex problems and a keen eye for detail
• A collaborative spirit that helps connect cross-functional teams to common quality goals and challenge existing assumptions to build better systems
• Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment
• Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP) is a plus

How we work with you

Our talent team at Get A Job.ai partners with innovative technology companies to connect exceptional candidates with transformative opportunities. When you apply through our platform, a dedicated recruiter will screen your application and discuss the role in detail. If there's a strong match, we will submit your profile to our client for consideration. Please note that all applications must come through Get A Job.ai—direct contact with the client is not part of this process.

This is a hybrid position based in London, UK, reporting to the director of engineering.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive recruitment process. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout our screening and submission process.