N-iX is looking for Senior Automation Test Engineer/SDET (Playwright + AI**)** to join the team
About the client:
Our client is a cutting-edge, technology focused company that provides a better way of detecting and managing risks that may impact the outcome of clinical trials. Their solutions, all of which are cloud-based, are driven by a unique set of algorithms that interrogate clinical and operational data in real-time centrally to conveniently illuminate outliers and anomalies in data.
**The Role: **
We are looking for a highly skilled AI Tester with strong Playwright expertise who embraces an AI-First approach to quality engineering. In this role, your primary focus will be testing AI-powered features implemented within the application — ensuring their reliability, accuracy, robustness, explainability, and compliance with product expectations.
While automation remains a critical capability, this role requires a strong understanding of how AI-driven functionality behaves in real-world scenarios, including edge cases, model variability, and prompt-driven outputs.
You will play a key role in validating AI features end-to-end — from requirement analysis and test design to automated validation, exploratory testing, and model behavior analysis — while continuing to leverage AI tools like GitHub Copilot/Codex to accelerate test development.
Responsibilities:
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Designing and executing comprehensive test strategies specifically for AI-powered features within the application
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Validating AI outputs for accuracy, consistency, edge-case handling, and alignment with business requirements
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Designing prompt-based and scenario-driven tests to evaluate model behavior under varied inputs
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Defining measurable validation criteria for non-deterministic systems( confidence ranges, tolerance thresholds, expected behavior patterns)
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Collaborating with engineering and product teams to improve explainability, observability, and traceability of AI decisions
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Ensuring AI features meet quality, compliance, and audit requirements where applicable
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Leveraging AI coding assistants (e.g., GitHub Copilot, Codex, or similar tools) to accelerate test development and framework enhancement
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Using AI tools to generate high-quality test scenarios from requirements and user stories
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Reviewing, validating, and refining AI-generated test code to ensure accuracy, scalability, and maintainability
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Contributing to AI-driven test design patterns and reusable automation strategies
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Promoting AI-augmented productivity practices within the QA team
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Designing, developing, and maintaining scalable Playwright-based automation frameworks for UI, API, and end-to-end testing
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Integrating automated test suites into CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, etc.)
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Performing exploratory testing to uncover edge cases, usability gaps, and unexpected system behavior
Required Qualifications:
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5+ years of commercial experience in tests automation
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Experience testing AI-driven or data-driven systems (LLMs, ML models,rule engines, recommendation systems, NLP-based features, etc.)
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Understanding of AI/ML behavior concepts such as prompt variability, non-deterministic outputs, confidence thresholds, bias, hallucinations, and edge-case handling.
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Ability to design validation strategies for probabilistic systems where results may not always be binary (pass/fail)
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Strong hands-on experience with Playwright automation framework
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Proficiency in JavaScript or TypeScript
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Demonstrated expertise using GitHub Copilot, Codex, or AI coding assistants as part of daily development workflow
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Solid understanding of automation framework architecture and design patterns
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Experience integrating automated tests into CI/CD pipelines
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Experience with test management tools such as Zephyr, Xray, or similar
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Strong understanding of software testing fundamentals (test design techniques, defect lifecycle, risk analysis)
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Proven experience in manual and exploratory testing of web applications
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Excellent analytical, debugging, and communication skills
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Upper-Intermediate/Advanced English level
Nice to have
- Experience validating AI systems in regulated environments (auditability, traceability, explainability requirements)
We offer:*
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Flexible working format - remote, office-based or flexible
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A competitive salary and good compensation package
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Personalized career growth
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Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
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Active tech communities with regular knowledge sharing
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Education reimbursement
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Memorable anniversary presents
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Corporate events and team buildings
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Other location-specific benefits
*not applicable for freelancers