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Acuity Consultants
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 businesses, 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.
AI-powered game recommendation platforms
Large Language Model (LLM) applications
Intelligent player assistants and AI agents
Hybrid recommendation engines
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.
AWS-based AI environment, Python, SageMaker, Airflow, Kubeflow, MLflow, LangChain, LangGraph, Large Language Models (LLMs), AI Agents, Recommendation Systems, Classical Machine Learning, Vector Databases, Docker
As the AI capability evolves, you'll also have the opportunity to influence future architecture and technology choices.
SOFTWARE ENGINEER who LOVES BUILDING AI PRODUCTS.
Experience deploying machine learning or Generative AI systems into production - not simply training models in notebooks.
Production AI engineering
Machine Learning engineering
LLM applications
AI agents
Recommendation engines
Retrieval-Augmented Generation (RAG)
LangChain or LangGraph
AWS AI services
SageMaker
Airflow, Kubeflow or MLflow
Vector databases
Docker
Python
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