🤖 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.
N-iX • Poland
Salary: 500 compa
Role & seniority: QA Architect / Senior QA / SDET (GenAI-focused) on a cross-account GenAI Value Lab; senior, hands-on lead for integrating GenAI into testing.
Stack/tools: QA automation (Selenium/Cypress/Playwright), API testing, CI/CD (Jenkins, GitHub Actions, GitLab), test management and data tooling; GenAI tooling (LLMs, prompt engineering, tools like Copilot/Claude/Cursor, LambdaTest, DeepChecks, AI Fairness 360, MLflow/TFX); scripting: Python/Java/C#; observability and evaluation tooling; integration into CI/CD pipelines.
Define, document, and pilot GPT/LLM-based testing strategies, data, and acceptance criteria (functional, non-functional, ethical).
Design LLM test plans, prompt variants, hallucination safety checks, and integrate AI testing workflows into CI/CD; prototype reusable playbooks and templates.
Enable project QA teams through workshops, demos, and pairing, driving adoption, measuring impact (defect escape rate, regression time, coverage) and producing reusable playbooks.
Proven QA Architect / Test Lead / Senior QA in modern SDLC with automation + CI/CD
Strong test strategy, UI/API automation, CI integration; non-functional testing basics
Proficient with Selenium/Cypress/Playwright, API testing, test runners, reporting tools; readable test code (Java/C#/Python)
GenAI experience: using AI for tests, log analysis, docs; understanding of LLMs, prompts, and GenAI workflows
Nice-to
N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.
We’re building a small GenAI Adoption team (GenAI Value Lab) to help delivery projects use AI in real work — not in side experiments.
This role is the QA/Testing specialist: you design how GenAI fits into testing, prove it on real projects, and enable account teams to run it themselves. You don’t own their frameworks long-term — you enable, then move on to the next team.
We’re not looking for someone who “knows it all.” GenAI in QA is still new. Part of your job will be to experiment, break things (safely), learn, and share what actually works. If you’ve played with tools like Copilot, Claude, Cursor, or LLMs in platforms like LambdaTest etc for test generation/log analysis – and you’re excited to turn that into real practice for real teams – you’ll feel right at home.
If you’re a QA Architect / Senior QA who wants to practice GenAI every day, work across multiple stacks, and help hundreds of engineers upgrade how they test, this is that role.
Design LLM-specific test plans, cases, and data: prompt variants, hallucination detection, safety/guardrail checks, response consistency. Set quality gates and acceptance criteria for LLM outputs (accuracy, safety, fairness, UX). Identify and pilot AI-specific testing tools (e.g. DeepChecks, AI Fairness 360, MLflow/TFX evaluation, prompt/adversarial testing tools) and prepare them for handover to project teams.
Build a strategic view on platform vs custom: e.g. LambdaTest / HiRafie–style suites vs Cursor/Claude Code and other IDE-centric tools — and recommend integration paths per account. Integrate LLM testing workflows into CI/CD with DevOps/MLOps (sanity checks, regression, evaluation runs, quality gates). Validate API integrations (auth, rate limits, error handling, fallbacks, observability around LLM calls). Ensure QA practices align with AI governance, data privacy, and responsible AI standards.
Track hard metrics: defect escape rate, regression time, flaky test rate, coverage, lead time, DORA/SPACE.
Track human impact: less repetitive QA work, cleaner pipelines, higher confidence before release. Turn improvements into clear stories that make adoption easier for the next team.
Proven experience as QA Architect / Test Lead / Senior QA/SDET in a modern SDLC (automation + CI/CD).
Hands-on with modern QA tooling: e.g. Selenium / Cypress / Playwright, REST API testing, test runners/reporting tools, CI/CD (Jenkins, GitHub Actions, GitLab, etc.). Able to read and reason about test code (Java, C#, Python or similar).
You’ve already used GenAI for real work: generating tests, refactoring test code, analyzing logs, writing docs, etc. Understanding of LLMs, prompt engineering, and GenAI workflows (you don’t have to be a researcher, but you’re not starting from zero).
Comfortable leading change: introducing new tools/processes, showing value with real numbers, not buzzwords. Able to tailor solutions to different client rules, compliance needs, and tech stacks. Clear communicator who can talk to QA, devs, architects, and managers without turning it into a research lecture.
How GenAI Value Lab works (and why this is interesting)
We don’t replace project QA teams or run their regression suites forever.
If you’re a QA architect who wants to be on the front line of how testing changes with GenAI — and you enjoy enabling many teams more than owning one codebase — we’d like to talk.
Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers Show more Show less