Production AI Engineer: Agentic Systems

GVW Group

Durbanville

On-site

ZAR 900,000 - 1,200,000

Full time

6 days ago
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Job summary

GVW Group is seeking an AI Engineer in South Africa to turn AI opportunities into tangible business value. You’ll design, prototype, and deploy production-grade AI/ML solutions, including agentic and multi-agent systems, using Azure AI Foundry, Azure OpenAI, and Copilot Studio.

You’ll work with stakeholders to translate requirements into measurable AI use cases, ensuring governance, security, and scalability while delivering incremental, real-world impact across Centers of Excellence.

Qualifications

  • 3+ years hands-on experience building production AI solutions.
  • Proven experience building end-to-end agentic or multi-agent systems.
  • Experience with AI product development, business analysis, or technical consulting.
  • Proficiency in Python, SQL, APIs, and standard ML libraries.
  • Masters/PhD are a plus; manufacturing or supply chain experience is beneficial.

Responsibilities

  • Identify AI opportunities with stakeholders to boost efficiency and automation.
  • Design end-to-end AI workflows from data to deployment in business processes.
  • Build and deploy production-grade AI solutions using Azure/Microsoft ecosystems.
  • Architect agentic and multi-agent architectures with appropriate orchestration patterns.
  • Develop RAG solutions and prompt-engineered AI workflows.
  • Integrate AI with data sources, REST APIs, and business systems.

Skills

Python
SQL
APIs
ML libraries
Azure OpenAI
Microsoft Copilot Studio
LangChain
Agent frameworks

Education

Master’s or PhD is a plus
Degree in Data Science, Computer Science, Engineering, or related discipline

Tools

Azure AI Foundry
Azure OpenAI
Power Automate
Microsoft Copilot Studio

Job description

GVW Group is seeking an AI Engineer in South Africa to turn AI opportunities into tangible business value. You’ll design, prototype, and deploy production-grade AI/ML solutions, including agentic and multi-agent systems, using Azure AI Foundry, Azure OpenAI, and Copilot Studio.

You’ll work with stakeholders to translate requirements into measurable AI use cases, ensuring governance, security, and scalability while delivering incremental, real-world impact across Centers of Excellence.

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