AI Engineer (AI Agents)

AES Global; Cape Town; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

AES Global in Cape Town is seeking an AI Engineer to build and run AI agents that deliver real value across the business, by shipping production-grade Python back-ends and services.

You’ll join a small Data & AI team, own end-to-end delivery from design through production, and contribute to reusable platform components while upholding engineering standards in a hybrid Cape Town office.

Qualifications

• 4+ years of software-engineering experience with production Python at the core.
• Proven experience building Python back-ends (APIs, services) and deploying to production.
• Solid engineering practices: version control, CI/CD, testing, code review and documentation.
• Practical cloud deployment experience (Azure/AWS/GCP) including containerisation basics.

Responsibilities

• 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

Skills

Python

APIs

CI/CD

Cloud deployment

Testing

Git

Education

Bachelor's degree in CS/Software Engineering

Tools

Azure

AWS

GCP

Job description

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 ID / SSO)

Working model

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