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Group AI Engineer

South Africa, Cape Town · Job Posted February 08, 2026
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Job Description

You’ll be building AI that reaches a global audience, solves practical business problems, shapes digital experiences, lives in production, gives you room to experiment with modern AI tooling, and lets you contribute to templates, patterns, and ways of working that others will build on. The roadmap is full of interesting challenges in personalisation, optimisation, automation, and experience design.

Job Responsibility

  • Build AI-powered products from the first whiteboard sketch all the way to live deployment
  • Blend software engineering, ML modelling, and data engineering to create genuinely useful tools
  • Work with teams across digital, marketing, operations, and customer experience to understand real problems and craft clear, measurable AI solutions
  • Handle everything from classical ML to LLM-powered systems (RAG, prompt design, adapters, etc.)
  • Integrate models into apps, websites, CRM platforms, internal tools
  • Keep things reliable with proper MLOps: monitoring, drift checks, retraining, alerting
  • Follow a thoughtful governance framework that keeps AI safe, private, fair, and transparent
  • Share patterns, build reusable components, and level up the organisation’s AI maturity

Requirements

  • 6+ years working with ML, data science, or software engineering in an applied, production-focused environment
  • Deployed real models
  • Python and SQL
  • Comfortable with ML frameworks (scikit-learn, LightGBM, PyTorch, TensorFlow etc.)
  • Built or used pipelines, containers, registries, tracking tools, or other MLOps tech
  • Familiar with cloud platforms (Azure, AWS or GCP)
  • Great at translating technical work into plain, friendly language
  • Like experimenting quickly but also care about building things that last
  • Stay curious about new AI developments but lean practical, not hype-driven
  • Understand the importance of data privacy and responsible AI

What we offer

  • Hybrid working
  • global exposure
  • modern tech stack
  • meaningful AI work
  • solid benefits stack
  • open team culture

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