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

• BSc Comp Sci/Information Systems or related
• Strong Engineering Capability
• Professional Certifications
• ISTQB certified

Experience

• Automated testing frameworks
• API testing
• Basic AI evaluation metrics understanding
• CI/CD integration
• Test Plan and Cases creation
• 3–5 years of QA engineering; AI testing exposure advantageous.

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:

• AI – Factory - QA Engineer
• Data sovereignty and regulatory alignment, with data and compute hosted in South African jurisdictions compliant with local laws.
• Scalable AI infrastructure, including accelerated computing and curated AI models.
• Consulting and managed services support, backed by certified AI expertise.

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

• COMMUNICATION & WORKING RELATIONSHIPS (Optional)
• Internal Stakeholders:
• Stakeholder & Purpose of Interaction
• External Stakeholders:
• Stakeholder & Purpose of Interaction

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.