
Gig Engineer provides fast access to a global pool of engineers for on-demand project work. It is an AI-driven project delivery platform designed for engineering work, connecting full-time,…

Gig Engineer provides fast access to a global pool of engineers for on-demand project work. It is an AI-driven project delivery platform designed for engineering work, connecting full-time,…
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Position Title: QA Engineer
Go-to-Market (GTM): Enterprise Applications
Practice: Software Engineering
Employment Type: Contract (6–12 Months)
Location: Cape Town or Johannesburg
Role Overview:
Gig Engineer is seeking an experienced QA Engineer to join the AI Factory team on behalf of its client.
I nherent/Minimum requirements:
Educational Qualifications
Experience
JOB PURPOSE
Project Background
The company’s AI platform (often referred to as the AI Factory) is a locally hosted, enterprise-grade AI platform and ecosystem designed to accelerate how South African businesses adopt and scale artificial intelligence. It combines high-performance infrastructure, curated models, and services to help organisations build, integrate, and deploy AI solutions quickly and securely.
The platform is powered by NVIDIA AI technology and hosted in local AI-ready data centres, ensuring compliance with South African regulatory and data sovereignty requirements, a key differentiator for enterprises navigating global AI adoption.
It enables both:
•Enterprise consumption of AI services (AI-as-a-Service, on-demand models and capabilities)
•Organisation-specific AI development (proprietary model development, integration, and scaling)
This blended approach means the execution teams will operate within a governed, supported, and scalable AI delivery ecosystem, consuming approved models and infrastructure while integrating solutions that deliver real value.
The platform emphasises:
Role Purpose
To ensure AI solutions meet functional, performance, and governance standards before production release.
KEY RESPONSIBILITIES
•Develop test strategies
•Automated testing implementation
•AI output validation testing
•Performance and regression testing
•Release certification support
Additional Responsibilities
QUALIFICATIONS, EXPERIENCE & SKILLS
Educational Qualifications
•Degree in Computer Science, Information Systems, or related
Professional Certifications (if applicable)
Experience
3–5 years of QA engineering; AI testing exposure advantageous.
Technical & Functional Skills
•Detail orientation
•Risk awareness
•Process discipline
•Critical thinking
BEHAVIOURAL COMPETENCIES
(The incumbent is expected to demonstrate the following competencies:)
•Structured thinking
•Stakeholder management
•Analytical discipline
•Commercial awareness
• Clear communication
Application Process
Interested candidates can apply directly to the job ad or by submitting their CV and a summary of relevant experience with the role title in the subject line to: tavonga@gigengineer.io.
Depending on the response, we may not be able to respond individually to all applicants; therefore, if you have not received a response within four weeks from your submission date, please consider your application unsuccessful.