Key Skills

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 Building reusable foundational AI components across client deployments 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. If building AI that turns behavioural science into real-world capabilities sounds like your kind of problem, please apply here.

Core Responsibilities

Build agentic AI systems and workflows that apply behavioral science to real-world client problems, including reasoning across social data, testing hypotheses, and producing useful outputs. Develop reusable foundational AI capabilities for the core platform, including tool use, retrieval, context, and evaluation, and take prototypes into reliable production systems.

Requirements

The role seeks an engineer with experience building real LLM or agentic AI systems and the ability to work directly with behavioral science experts. Engineering depth, curiosity, comfort with ambiguity, and an AI-native approach are emphasized; no specific degree or years of experience are stated.