AI Agent Engineer (Entry): Build AI Agents & Cloud Solutions

Imizizi; Gauteng; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Imizizi is seeking an experienced software engineer to design, build, and maintain backend systems in C#/.NET, focusing on AI agent capabilities and LLM integration. The role involves implementing MCP/A2A interoperability, deploying to Azure, and collaborating within an Agile, cross-functional team.

You will contribute to AI-native tooling and support existing solutions with DevOps practices, including standby as needed. Familiarity with containerization (Docker) and modern CI/CD is expected.

Qualifications

• Degree or diploma in Computer Science, Software Engineering, Information Technology, or equivalent practical experience.
• Solid experience developing backend applications using C#/.NET.
• Experience with AI agents, LLMs or Generative AI and Azure/DevOps practices.

Responsibilities

• Design, build and maintain configurable AI agent capabilities using C#/.NET and Microsoft Agent Framework.
• Develop agentic solutions integrating LLMs, tools, APIs and enterprise services.
• Implement and maintain agent/tool integrations using MCP, A2A and related standards.
• Develop, containerise, deploy, monitor and support applications using Docker and Azure, with CI/CD.
• Deliver secure, reliable software and participate in design reviews within an Agile, international team.
• Provide support for existing solutions including standby, with after-hours rotation if required.

Skills

C#/.NET development

AI agent development

LLM integration

Azure cloud

DevOps practices

Education

CS/IT degree or diploma

Tools

Docker

AKS

MCP/A2A integrations

Job description

Imizizi is seeking an experienced software engineer to design, build, and maintain backend systems in C#/.NET, focusing on AI agent capabilities and LLM integration. The role involves implementing MCP/A2A interoperability, deploying to Azure, and collaborating within an Agile, cross-functional team.

You will contribute to AI-native tooling and support existing solutions with DevOps practices, including standby as needed. Familiarity with containerization (Docker) and modern CI/CD is expected.