🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Undocked • Bengaluru, Karnataka, India
Role & seniority: AI Testing Engineer (QA, mid-level) with 3+ years in QA or test automation.
Stack/tools: Playwright (mandatory); API and modern web app testing; CI/CD integration; exposure to AI/ML systems (LLMs, chatbots, recommendation engines, predictive analytics); Agile environment.
Design and maintain robust Playwright-based automation frameworks and test suites (end-to-end, regression, API).
Validate AI-integrated features and AI outputs (accuracy, consistency, bias, edge cases) across environments.
Collaborate with product/engineering/data teams to define AI test strategies and integrate automated tests into CI/CD; perform exploratory and risk-based testing; contribute to AI quality standards (prompt testing, model behavior).
3+ years in QA or test automation; strong Playwright experience (mandatory).
Experience testing APIs and modern web applications.
Automation framework design and best practices.
Exposure to AI/ML-powered applications (LLMs, chatbots, recommendation engines, predictive analytics, prompt validation).
Strong analytical/problem-solving skills; Agile experience.
Experience with k6 for performance/load testing; performance testing concepts.
Cloud familiarity (AWS, Azure, GCP).
Experience validating data pipelines or ML workflows; understanding of model evaluation metrics.
Location & work type: Location not specified; work type not speci
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
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