We have been hiring AI Engineers in Berlin for months. Smart people. Great CVs. Deep model knowledge. But something was off.

They could fine-tune models. Build prompts. Connect APIs. But when we asked about orchestration, state management, or securing agent memory - most conversations went quiet.

We weren't hiring for the wrong people. We were hiring for the wrong role.

The job we described as “AI Engineering” was really about designing, running, and securing the infrastructure for agents. And that discipline needed its own name.

We call it Agent Engineering.

It is still early. Agent Engineering, as a recognized field is maybe a few months old. But Europe is just waking up to this.

Arbio is one of the first companies in Europe to hire explicitly for this role.

What Agent Engineering Is

Agent Engineering is the practice of building, running, and managing agentic systems. It sits at the intersection of software engineering, system design, and security engineering.

It focuses on:

• Runtime architecture: how agents are orchestrated, manage state, and execute concurrently
• Memory systems: how context, history, and knowledge are retained
• Tooling integration: how agents safely connect to APIs, databases, or internal tools
• Safety and security: protecting data and enforcing access boundaries
• Evaluation and performance: tracking usefulness, latency, and reliability

Agent Engineers don’t just build agents. They build the systems that make agents useful, secure, and scalable.

The Shift Is Already Happening

Every company that deploys AI products will eventually hire Agent Engineers - the same way every software company eventually hired DevOps, then SREs, then platform engineers.

The pattern repeats because abstraction layers always need their own discipline. When systems become autonomous, the engineering challenge shifts from what they do to how they run.

We are early. Agent Engineering as a recognized field is maybe a few months old. But the demand is compounding fast. Europe is just waking up to this.

Arbio is one of the first companies in Europe hiring explicitly for this role. Not because we're chasing trends. Because our infrastructure demands it.

What We're Building

We are building the runtime for property operations - agents that handle reservations, sync platforms, resolve conflicts, and learn from thousands of edge cases we've seen across our operations.

This isn't a just another AI agent. It's a system. And systems need engineers who think in layers: agents, runtime, memory, security, observability.

If you want to build the thing that runs the thing - we should talk.

We are hiring Agent Engineers in Berlin.

For us, this isn’t a title change. It’s a recognition of a new layer of engineering that will define how AI products are built and operated.

‍