Lead QA Engineer
Infrastructureonsitelead
At a glance
Highlights
- Lead QA strategy for AI-enabled financial apps and enterprise platforms.
- Validate conversational AI, RAG workflows, and tool integrations end to end.
- Embed continuous testing and safeguards across AI application delivery.
What they offer
- Competitive remuneration package
- Healthcare
- Education support
- Leave benefits
- Learning, development and growth opportunities
Ideal candidate
Performance-driven, inquisitive QA leader who thrives in ambiguity and cares about reliable, secure AI outcomes. You enjoy mentoring engineers and partnering across product and engineering to ship customer-centric solutions.
Requirements
- Bachelor's degree in Computer Science, Engineering
- Experience with Agile delivery, Git, CI/CD pipelines and cloud-based applications
- Strong analytical and communication skills with ability to explain quality risks
- Experience mentoring engineers and coordinating testing across multidisciplinary teams
Lab profile
About G42
Global AI group from Abu Dhabi building data centers, AI cloud, and applied AI products.
What they build
- AI data centers
- Hyperscale AI cloud infrastructure
- Applied AI products via Inception
Known for
- Vertically integrated AI stack
- Applied AI research to deployment
- Full-stack and solutions engineering
- Enterprise cybersecurity expertise
Key facts
- Founded in 2018
- Headquartered in Abu Dhabi, UAE
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