AI Testing Engineer

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