AI Engineer (Entry) 1960 at Mediro Recruitment

About the role

• Our client in Pretoria is recruiting for an AI Engineer (Entry) to join their team.
• Agent Development: Design, build and maintain configurable AI agent capabilities using C#/.NET and Microsoft Agent Framework.
• LLM Integration: Develop agentic solutions integrating LLMs, tools, APIs and enterprise services, including orchestration and context management.
• MCP & A2A Integration: Implement and maintain agent and tool integrations using MCP, A2A and related interoperability standards.
• Cloud & Delivery: Develop, containerise, deploy, monitor and support applications using Docker, Microsoft Azure and AKS, supported by automated testing and CI/CD.
• Engineering & Collaboration: Deliver secure, reliable and maintainable software, participate in technical design and code reviews, and collaborate within an Agile, cross-functional and international team.
• Using and driving AI Native ways of working and AI tooling within the team
• Other responsibilities as per AWM Charter or as decided by department manager.
• Provide support for existing solutions (DevOps) including standby. Willing and able to be on standby after hours, on weekends and on public holidays as per rotation schedules (where relevant).

What they're looking for
Qualifications/Experience:

• Relevant degree or diploma in Computer Science, Software Engineering, Information Technology, or equivalent practical experience.
• Solid professional experience developing backend applications using C#/.NET.
• Experience developing and supporting production-grade software solutions throughout the software development lifecycle.
• Practical exposure to AI agents, LLMs, Generative AI or related AI application development.
• Experience working with Microsoft Azure and modern Agile/DevOps software engineering practices.

Essential Skills Requirements:

• C# / .NET: Strong working knowledge of modern C# and .NET, backend development, REST APIs, asynchronous programming, automated testing and software engineering best practices.
• AI Agents & LLMs: Practical experience developing AI-enabled applications and integrating LLM services, including prompting, tool/function calling, structured outputs and conversation/context management.
• Agent Frameworks: Experience with Microsoft Agent Framework, Semantic Kernel or similar AI/agent frameworks, with the ability to develop configurable agent-based solutions.
• MCP & A2A: Understanding of Model Context Protocol (MCP) and Agent-to-Agent (A2A) concepts, with experience implementing or integrating modern agent/tool communication being highly beneficial.
• Azure & Software Delivery: Experience with Microsoft Azure, Docker and Kubernetes/AKS, together with Git, CI/CD, monitoring and production support practices.

Advantageous Skills Requirements:

• Experience with multi-agent solutions, agent orchestration and human-in-the-loop workflows.
• Experience working with Azure OpenAI or other enterprise LLM services and integrating models into backend applications.
• Understanding of AI application security, including prompt injection risks, data protection, authentication and authorization.
• Experience with agent/LLM evaluation, tracing, telemetry and observability in AI-enabled applications.
• Knowledge of relational, document or vector databases and distributed/event-driven application architectures.