Pretoria, South Africa
Are youpassionate about software development and curious about how ArtificialIntelligence is changing the way we work, communicate and solve problems? Here'syour opportunity to get involved in the exciting world of AI-poweredapplications, intelligent agents and next-generation technology!
We are lookingfor an enthusiastic Entry-Level AI Engineer with a solid C#/.NET developmentbackground and a genuine interest in Generative AI, Large Language Models(LLMs) and AI agents. You'll be part of a dynamic, international technologyenvironment, helping build intelligent solutions that automate conversations,connect systems and make complex tasks smarter and more efficient.
This isn't justabout writing code, it's about helping shape how AI is developed and used inthe enterprise world!
You'll getinvolved in exciting projects where software engineering meets ArtificialIntelligence, including:
- Building Intelligent AI Agents:Develop and maintain configurable AI agents using C#/.NET and MicrosoftAgent Framework.
- Working with Generative AI: IntegrateLarge Language Models (LLMs), APIs and enterprise services to createsmart, AI-powered applications.
- Making AI Agents Talk: Explore andimplement 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: Writeclean, secure and maintainable code, participate in code reviews andcontribute to automated testing.
- AI Innovation: Help drive AI-nativeways of working and make use of the latest AI development tools within theteam.
- Team Collaboration: Work alongsidetalented developers and technology specialists in an Agile, internationalenvironment.
- Production Support: Assistwith monitoring, maintaining and supporting existing solutions, includingDevOps responsibilities and standby duties.
Requirements
EssentialTechnical Skills:
- C# / .NET: Good working knowledge ofmodern C# and .NET, backend development, REST APIs, asynchronousprogramming and automated testing.
- AI Agents & LLMs: Practicalexposure to AI-enabled applications, LLM integration, prompt engineering,tool/function calling and conversation or context management.
- AI Agent Frameworks: Experience withMicrosoft Agent Framework, Semantic Kernel or similar frameworks.
- MCP & A2A: An understanding ofModel Context Protocol (MCP) and Agent-to-Agent (A2A) concepts.
- Microsoft Azure: Experience workingwith Azure cloud environments.
- DevOps & Containers: Exposure toDocker, Kubernetes/AKS, Git, CI/CD pipelines, monitoring and productionsupport.
Advantageous Skills:
- Experience building multi-agentsolutions or agent orchestration workflows.
- Exposure to Azure OpenAI or otherenterprise 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, documentor vector databases.
- Knowledge of distributed systems andevent-driven architectures.
- Experience with human-in-the-loop AIworkflows.
Qualifications & Experience:
- A relevant degree or diploma inComputer Science, Software Engineering, Information Technology or arelated field. Equivalent practical experience will also be considered.
- Solid professional experiencedeveloping backend applications using C#/.NET.
- Experience developing and supportingsoftware solutions throughout the software development lifecycle.
- Practical exposure to Generative AI,LLMs, AI agents or AI application development.
- Experience working with MicrosoftAzure and modern Agile/DevOps practices.