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Lead QA Engineer
ClearVUE.Business · Dubai
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Job description
About the job
Salary of between 20,000 - 25,000 AED / month (DoE)
Make a difference: Your work will contribute to limiting the increase in global temperatures by helping businesses reduce carbon emissions and improve their sustainability.
Learn from industry-leading experts: We have cultivated some of best talent in the industry, allowing you to supercharge your career progression and learn from the best minds out there.
What’s in it for you?
- Competitive salary
- Comprehensive Health Insurance
- Monday to Friday, 9–5 working hours
- Additional December leave and company incentives
Hi, we're ClearVUE Dubai
ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
The opportunity
We are seeking an experienced QA Engineer with a strong background in testing AI-powered platforms and LLM-driven systems to lead quality assurance initiatives across our products and platforms in Dubai. This role goes beyond traditional software testing; you will be responsible for understanding complex business workflows, AI behaviours, integrations, and user journeys to ensure our platforms remain reliable, scalable, and trustworthy.
You will play a key role in validating both traditional application functionality and AI-driven experiences, helping teams identify risks, uncover hidden dependencies, and maintain high quality standards across rapidly evolving systems. You will take a proactive and investigative approach to quality, rapidly identifying risks, validating assumptions, and helping teams iterate quickly without compromising reliability.
If you thrive on problem-solving, ownership, strategic thinking, and improving complex products, this role is for you.
What exactly will you do?
- Lead QA efforts across traditional software features and AI/LLM-powered capabilities.
- Deeply understand platform functionality, workflows, integrations, and AI-driven experiences to identify risks and assess the impact of changes.
- Design, execute, and maintain scalable testing strategies, regression coverage, and QA processes across web applications and AI-driven workflows.
- Validate AI-generated outputs for accuracy, consistency, prompt reliability, hallucination handling, edge cases, and overall user experience.
- Collaborate closely with developers, product managers, and stakeholders to identify risks, refine requirements, and improve quality throughout the development lifecycle.
- Investigate defects, production incidents, hidden dependencies, and unintended side effects to improve reliability and long-term platform quality.
- Drive QA best practices and promote a culture of quality ownership across the engineering team through mentorship, collaboration, and continuous improvement initiatives.
What we’re looking for
- 7+ years of experience in QA Engineering, Software Testing, or Quality Assurance leadership roles.
- Bachelor’s Degree in Computer Science or a related field.
- Experience testing complex web applications, SaaS platforms, or distributed systems.
- Experience testing AI-powered applications, LLM integrations, conversational AI systems, or intelligent automation workflows.
- Strong understanding of software architecture, integrations, business workflows, and scalable QA processes across complex platforms.
- Experience validating AI-generated outputs, including prompt testing, hallucination detection, edge case analysis, and response consistency.
- Familiarity working closely with developers to reproduce issues, validate fixes, and improve overall product quality.
- Strong analytical, problem-solving, and communication skills, with a proactive mindset and passion for building high-quality products.
Nice to Have (but not expected)
- Master's Degree in a related field.
- Experience with automation testing frameworks and CI/CD pipelines.
- Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
- Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
- Familiarity with AI coding tools (Claude Code, Codex, Cursor etc.).
- Exposure to agnostic AI frameworks or modern developer tools for building flexible, provider-independent applications.
- ISTQB Certification (CT-AI, CT-GenAI, or equivalent).
Why Join Us?
This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We’ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today’s energy landscape.
Equal Opportunities Statement
Global Procurement Group (GPG) is an equal opportunities employer committed to creating an inclusive and diverse workplace where people are treated with fairness, dignity and respect.
We aim to ensure our recruitment processes are fair, consistent, and free from bias. All applications are assessed based on skills, experience and alignment with the requirements of the role, and we strive to provide equal opportunity for all candidates at every stage of the recruitment process.
*For more information on how we process your data, please refer to our Candidate Privacy Policy. This can be found on our Careers page
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