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AI Engineer; AI Agents

Job in Cape Town, 7561, South Africa
Listing for: AES Global
Full Time position
Listed on 2026-10-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Backend Developer, DevOps
Job Description & How to Apply Below
Position: AI Engineer (AI Agents)

We’re working with an established renewable energy business that’s building out an AI agent platform, and they’re looking for an AI Engineer — a strong software engineer to build and run AI agents that deliver real value across the business, and to help mature the platform itself.

You’ll join a small, high-standards Data & AI team. Most of your time will be spent writing production Python and shipping agents from prototype to live, governed, monitored systems, with a meaningful share improving the shared infrastructure everyone builds on.

What you’ll do
  • Build and deploy AI agents on the platform, owning delivery from design through to production — monitored and governed
  • Write production-grade Python back-ends and services that expose agents to the business
  • Contribute to the platform itself — reusable components, deployment patterns, session and cost handling, and integrations
  • Uphold engineering standards through PR reviews, testing and documentation
  • Work alongside the AI and Data Engineering teams to take agents from backlog to production
What you’ll bring
  • 4+ years’ software-engineering experience, with production Python at the core
  • Demonstrable experience building Python back-ends (APIs, services) and deploying to production
  • Solid engineering practice — version control, CI/CD, testing, code review and documentation
  • Practical cloud-deployment experience (Azure, AWS or GCP), including containerisation basics
  • The ability to own delivery end-to-end in a structured enterprise environment
  • A degree in Computer Science, Software Engineering or another quantitative field, or equivalent experience
Advantageous
  • Hands-on with LLM APIs, tool use and prompt management
  • AI agents, AI gateways, eval frameworks, and agent monitoring / cost tracking
  • MCP server development, and Microsoft 365 / Graph API integration
  • Enterprise AI governance and access control (Entra  / SSO)
Working model

Hybrid in Cape Town — three days a week in the office.

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