About Nebul

At Nebul, we’re building Europe’s sovereign AI cloud — trusted, secure, and purpose-built for the next generation of intelligent infrastructure.

Beyond infrastructure, we’re investing heavily in AI-native applications that sit on top of this cloud: intelligent systems that reason, automate, and collaborate with humans using large language models (LLMs).

What You’ll Be Doing

As a Full-Stack AI Engineer, you’ll play a key role in designing and building production-grade AI applications that communicate with LLMs, orchestrate agentic workflows, and automate complex processes end to end.

You’ll work across backend, AI orchestration, and lightweight frontend layers to deliver scalable, observable, and reliable AI systems. Your focus will be on agent-based architectures, LLM integrations, and automation flows, rather than traditional CRUD applications.

You’ll have significant autonomy in technical decisions, influence architectural direction, and help define best practices for building AI systems that are ready for real-world production use.

Key Responsibilities

• Design and build end-to-end AI applications that leverage LLMs for reasoning, automation, and decision-making.
• Implement agentic architectures using frameworks such as LangChain, LlamaIndex, and PydanticAI.
• Develop backend services and orchestration layers in Python and Go, with supporting components in TypeScript where needed.
• Build and maintain LLM-powered workflows that integrate with internal systems, APIs, and external tools.
• Apply strong prompt engineering practices to ensure reliability, safety, and predictable model behavior.
• Work hands-on with LLM models, embeddings, retrieval (RAG), and tool calling.
• Implement LLM observability using tools like Langfuse, including tracing, evaluation, and cost monitoring.
• Ensure AI systems are scalable, testable, and production-ready.
• Collaborate with platform, product, and security teams to align AI capabilities with infrastructure and compliance requirements.
• Take ownership of AI system architecture and continuously evolve it as usage and complexity grow.

What Your Day Will Not Look Like

• Building mostly static UIs or traditional frontend-heavy applications.
• Writing experimental AI demos without production considerations.
• Working on isolated scripts with no architectural or system-level impact.

What You Bring

• Strong experience as a full-stack or backend engineer with a clear focus on AI-driven systems.
• Hands-on expertise with Python, plus working knowledge of Go and TypeScript.
• Proven experience building applications that integrate with LLMs in production environments.
• Solid understanding of agent-based systems, workflow orchestration, and AI system design.
• Practical experience with prompt engineering, model selection, and LLM evaluation.
• Familiarity with LLM observability concepts: tracing, monitoring, feedback loops, and cost control.
• An ownership mindset and the ability to design systems that scale beyond prototypes.

Bonus Points If You Have

• Experience deploying AI systems on cloud-native or Kubernetes-based platforms.
• Familiarity with RAG pipelines, vector databases, or embedding strategies.
• Experience designing developer-facing AI platforms or internal AI tooling.
• Interest in reliability, safety, and governance of AI systems.
• Experience mentoring engineers or acting as a technical lead.

Eligibility & Application Information

We welcome non-native Dutch speakers to apply. However, to be eligible, you must:

• Have a valid work permit in the Netherlands.
• Reside in the Netherlands and be able to travel to the office near The Hague.
• Be fluent in English (Dutch is not required).

Ready to build production-grade AI systems that go beyond demos?

Apply now through Frank Poll and help Nebul shape the future of intelligent, sovereign AI applications.