Agentic AI Engineer

Stealth Startup; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Stealth Startup is seeking an Agentic AI Engineer in the Netherlands to build AI systems that leverage behavioural science for real-world decisions. You will extend our foundational AI capabilities and create reusable agentic components across client projects.

Ideal candidates have hands-on experience with real LLM/agentic AI systems and enjoy collaborating with domain experts while operating in an AI-native, ambiguity-tolerant environment.

Qualifications

• Experience building real LLM or agentic AI systems.
• Ability to translate behavioural science into AI workflows.
• Working at the intersection of AI engineering and behavioural science.

Responsibilities

• Build AI systems that solve client problems using behavioural insights.
• Develop robust agentic capabilities for reuse across clients.
• Design multi-step reasoning and agent workflows.
• Implement tool-use, retrieval, context and evaluation components.
• Move experiments from prototypes to production systems.

Skills

Agentic AI

LLM systems

AI engineering

Behavioural science

Job description

We’re a fast-growing AI scale-up working with social data to understand and predict human behaviour at scale.

We’re building agentic AI systems that combine behavioural science with modern AI to answer complex questions about how people and groups behave in the real world.

Following our Series A, we’re looking for an Agentic AI Engineer to join our team in the Netherlands.

The role has two core parts.

First, you’ll work alongside our behavioural science team to build AI systems that solve specific client problems.

How might a population respond to an unfolding event? How could the behaviour of a group change when its environment changes? How can large volumes of social data be turned into useful behavioural intelligence?

You’ll translate behavioural science into agentic workflows that can reason across data, test hypotheses and produce useful outputs for real users.

Second, You will join us in building our own foundational AI capabilities that can be reused across multiple clients.

Instead of solving every new problem from scratch, you’ll identify what can be generalised and turn it into robust capabilities within our core platform.

That means:

• Building agentic systems around behavioural science and real-world problems
• Working closely with scientists to translate research and models into AI capabilities
• Designing multi-step reasoning and agent workflows
• Developing tool-use, retrieval, context and evaluation capabilities
• Taking experiments from rapid prototypes into reliable production systems

We’re particularly interested in engineers who have built real LLM or agentic AI systems and enjoy working directly with domain experts rather than receiving perfectly defined specifications.

You’ll be working at the intersection of AI engineering, behavioural science and real-world decision-making.

What matters is engineering depth, curiosity, comfort with ambiguity and an AI-native way of working.