Job Description & How to Apply Below
About Us
At Undocked , we help companies excel in e-commerce by delivering bespoke optimizations and cutting-edge analytics. Our experience across retail and supply chain product strategy, technology, and operations has helped organizations succeed in their e-commerce and digital transformation journeys.
As we expand into AI-enabled systems and intelligent automation, we are looking for an AI Testing Engineer who can ensure quality, reliability, and performance across AI-driven applications and modern web platforms.
Role Overview
We are seeking a QA professional with strong Playwright automation expertise and hands-on exposure to AI-powered systems . You will be responsible for validating intelligent workflows, testing AI-integrated applications, and ensuring reliability, performance, and accuracy across environments.
This role combines traditional QA rigor with modern AI system validation.
Key Responsibilities
Design and maintain robust automation frameworks using Playwright
Develop end-to-end, regression, and API test suites
Test AI-integrated features such as recommendation engines, chatbots, predictive workflows, or LLM-based systems
Validate AI outputs for accuracy, consistency, bias, and edge cases
Collaborate with product, engineering, and data teams to define test strategies for AI-driven features
Perform exploratory and risk-based testing on intelligent workflows
Integrate automated tests into CI/CD pipelines
Contribute to quality standards for AI systems, including prompt testing and model behavior validation
Required Skills
3+ years of experience in QA or Test Automation
Strong hands-on experience with Playwright (mandatory)
Solid understanding of automation framework design and best practices
Experience testing APIs and modern web applications
Exposure to AI/ML-powered applications in any of the following areas:
LLM-based systems
Chatbots or conversational AI
Recommendation engines
Predictive analytics systems
Prompt validation and AI output verification
Strong analytical and problem-solving skills
Experience working in Agile environments
Nice to Have
Experience with k6 for performance and load testing
Exposure to performance testing concepts
Familiarity with cloud environments (AWS, Azure, or GCP)
Experience validating data pipelines or ML workflows
Understanding of model evaluation metrics
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