AI Engineer (Entry)
Description
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.
- 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.
- 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.