AI Agent Engineer — Production Systems & Kubernetes

Cyberdune Agents; Amsterdam; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 vacation days

Commuting reimbursed

Work laptop

8% holiday allowance

Descripción de la vacante

Cyberdune Agents is seeking an engineer to design, build and ship features end-to-end, from design to production, focusing on AI agents and evaluation. You will configure Kubernetes resources, review junior engineers' code, and contribute to architecture discussions in a collaborative, privacy-conscious environment.

You'll work with Python, Docker, Kubernetes, and LLM tools, and collaborate across teams to push cutting-edge AI agent technology into production while maintaining high quality and

Formación

• 3–5 years building and operating production software.
• Hands-on with Python, Docker and Kubernetes, LLMs and MCP tools.
• Proficient in English; Dutch language a plus.

Responsabilidades

• Design, build and ship features end-to-end from design to production.
• Build and improve AI agents, prompts and agent logic and evaluate model behaviour.
• Configure and maintain Kubernetes resources independently.
• Follow code review, testing and security practices.
• Review junior engineers' code and share patterns.
• Document components and contribute to architecture discussions.

Conocimientos

Python

Docker

Kubernetes

LLMs

MCP tools

English

Educación

BSc/MSc in Computer Science, AI, Data Science or related field

Herramientas

Azure

Claude

BPMN

Petri nets

Neo4j

PostgreSQL

Kafka

Redis

Node.js

Descripción del empleo

Cyberdune Agents is seeking an engineer to design, build and ship features end-to-end, from design to production, focusing on AI agents and evaluation. You will configure Kubernetes resources, review junior engineers' code, and contribute to architecture discussions in a collaborative, privacy-conscious environment.

You'll work with Python, Docker, Kubernetes, and LLM tools, and collaborate across teams to push cutting-edge AI agent technology into production while maintaining high quality and