Senior Software Engineer, Applied AI (Netherlands)

You will join a small, highly autonomous cross-functional team to build AI agents that fundamentally transform how operations work at scale. Instead of writing bespoke software for every workflow, we are developing an agent platform that can read operational knowledge, reason about it in context, and execute tasks end-to-end. This approach allows us to scale complexity through knowledge and reasoning, rather than simply through code. This is an opportunity to join a foundational team, which currently consists of fewer than five engineers. The work spans critical areas including LLM-powered agent design, robust backend service architecture, tool and integration development, and sophisticated knowledge infrastructure. We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment.

Responsibilities

Design, build, and own core components of the agent platform, from the orchestration layer to the tool integrations connecting it to internal systems; Build and evolve the capabilities layer: APIs, data access patterns, and service integrations for agents to execute operational workflows; Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems; Design and implement the trust and safety framework, including audit trails, human-in-the-loop controls, and guardrails for safe and auditable AI-driven operations; Contribute to agent evaluation and testing infrastructure, defining how we measure accuracy, reliability, and regression across agent behaviors; Partner directly with Operations to understand workflows, identify automation opportunities, and translate process knowledge into agent capabilities; Mentor other engineers on the team as it grows

Requirements

Self-driven and likes to work with others to remove roadblocks; Curious and loves to explore and learn new technologies; Demonstrated ability to build, deploy, and maintain large-scale, complex applications; Comfortable in a fast-paced, early-stage environment; Pragmatic and balances quality with speed; Product-minded; Strong ownership mindset; Strong backend engineering fundamentals; 5+ years of backend engineering experience building and operating production systems; Hands-on experience with LLMs and AI agents (orchestration, RAG, tool/function calling, or similar); Strong API design and system integration skills; Product-minded: questions requirements and contributes to product decisions, not just execution; Proven ownership of complex projects in ambiguous, early-stage environments; Curious and eager to develop expertise in AI and LLMs

Benefits

Great benefits; Wellness program offerings; Company retreats; Casual environment; Ability to interact with and learn from leaders in the startup community