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Location
In office (Pretoria)
Employment
Full-Time

First seen by Alion on Nov 3, 2026.

Overview
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Sabenza IT & Recruitment is a recruitment agency that places candidates with client employers in IT, data and AI roles with consulting and technology employers. It advertises positions such as JavaScript developers, analytics engineers, Python AI engineers and key account managers. The agency is headquartered in Durban, South Africa.

Are you passionate about software development and curious about how Artificial Intelligence is changing the way we work, communicate and solve problems? Here's your opportunity to get involved in the exciting world of AI-powered applications, intelligent agents and next-generation technology!

We are looking for an enthusiastic Entry-Level AI Engineer with a solid C#/.NET development background and a genuine interest in Generative AI, Large Language Models (LLMs) and AI agents. You'll be part of a dynamic, international technology environment, helping build intelligent solutions that automate conversations, connect systems and make complex tasks smarter and more efficient.

This isn't just about writing code, it's about helping shape how AI is developed and used in the enterprise world!

You'll get involved in exciting projects where software engineering meets Artificial Intelligence, including:

  • Building Intelligent AI Agents: Develop and maintain configurable AI agents using C#/.NET and Microsoft Agent Framework.
  • Working with Generative AI: Integrate Large Language Models (LLMs), APIs and enterprise services to create smart, AI-powered applications.
  • Making AI Agents Talk: Explore and implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) integrations, allowing agents and tools to communicate and work together.
  • Cloud Technology: Build, containerise, deploy and support applications using Microsoft Azure, Docker and Kubernetes/AKS.
  • Modern Software Engineering: Write clean, secure and maintainable code, participate in code reviews and contribute to automated testing.
  • AI Innovation: Help drive AI-native ways of working and make use of the latest AI development tools within the team.
  • Team Collaboration: Work alongside talented developers and technology specialists in an Agile, international environment.
  • Production Support: Assist with monitoring, maintaining and supporting existing solutions, including DevOps responsibilities and standby duties.

Requirements

Essential Technical Skills:

  • C# / .NET: Good working knowledge of modern C# and .NET, backend development, REST APIs, asynchronous programming and automated testing.
  • AI Agents & LLMs: Practical exposure to AI-enabled applications, LLM integration, prompt engineering, tool/function calling and conversation or context management.
  • AI Agent Frameworks: Experience with Microsoft Agent Framework, Semantic Kernel or similar frameworks.
  • MCP & A2A: An understanding of Model Context Protocol (MCP) and Agent-to-Agent (A2A) concepts.
  • Microsoft Azure: Experience working with Azure cloud environments.
  • DevOps & Containers: Exposure to Docker, Kubernetes/AKS, Git, CI/CD pipelines, monitoring and production support.

Advantageous Skills:

  • Experience building multi-agent solutions or agent orchestration workflows.
  • Exposure to Azure OpenAI or other enterprise LLM services.
  • Knowledge of AI application security, including prompt injection, data protection and access control.
  • Experience with AI evaluation, tracing, telemetry and observability.
  • Familiarity with relational, document or vector databases.
  • Knowledge of distributed systems and event-driven architectures.
  • Experience with human-in-the-loop AI workflows.

Qualifications & Experience:

  • A relevant degree or diploma in Computer Science, Software Engineering, Information Technology or a related field. Equivalent practical experience will also be considered.
  • Solid professional experience developing backend applications using C#/.NET.
  • Experience developing and supporting software solutions throughout the software development lifecycle.
  • Practical exposure to Generative AI, LLMs, AI agents or AI application development.
  • Experience working with Microsoft Azure and modern Agile/DevOps practices.

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