Artificial intelligence engineer (ai engineer) – build ai products in online gaming – cape town[...]

If you’re an Artificial Intelligence Engineer (AI Engineer) - from a strong Software Engineering background - and you’re now looking for a role that isn’t focussed on research but one where you actually build AI Products that people use, this is it.

Based in CAPE TOWN, this AI Engineer role offers a salary up to R1.6m.

THE COMPANY is a global technology business at the forefront of online gaming innovation, delivering world‑class digital products used by millions of players every day.

They combine large‑scale cloud platforms, advanced data science and modern AI engineering, investing heavily in intelligent systems that personalise player experiences, power recommendation engines and drive the next generation of gaming technology.

THE ROLE involves joining an AI team within this gaming technology business, designing and deploying intelligent products that directly influence how millions of players discover, engage with and enjoy games.

If you're excited by taking AI from idea to production, you'll love this role.

From day one you'll work on AI products already delivering value, while helping shape the next generation of intelligent gaming experiences.

Your initial projects will include: AI‑powered game recommendation platforms Large Language Model (LLM) applications Intelligent player assistants and AI agents Machine learning models deployed into production Time‑series forecasting solutions Personalisation and player retention platforms

You’ll own the entire lifecycle. Identify the opportunity. Design the solution. Build it. Deploy it. Monitor it. Improve it.

The team is currently using the following tech:

AWS‑based AI environment, Python, Sage Maker, Airflow, Kubeflow, MLflow, Lang Chain, Lang Graph, Large Language Models (LLMs), AI Agents, Recommendation Systems, Classical Machine Learning, Vector Databases, Docker REQUIRED SKILLS: SOFTWARE ENGINEER who LOVES BUILDING AI PRODUCTS. Experience deploying machine learning or Generative AI systems into production - not simply training models in notebooks. You’ll ideally bring experience with several of the following: