Junior AI Agent Engineer | LLMs, Python & Docker

Cyberdune Agents; Amsterdam; Hybrid; EUR 40,000 - 60,000; Full time

Benefits offered by this job

25 vacation days (full-time)

Commuting and business travel reimburs

Work laptop

8% holiday allowance

Job summary

Cyberdune Agents is building and maintaining AI agents on our multi-agent platform. You will turn client requirements into working, tested code using Python, Docker, LLMs and MCP tools. You’ll refine prompts and agent logic, and ensure reliable model behaviour across defined cases.

Join a team that emphasizes solid documentation, rigorous testing, and responsible AI practices. This role offers a collaborative environment, cutting-edge research opportunities, and 25 vacation days in an innovative

Qualifications

• BSc/MSc in Computer Science, AI, Data Science or a related field.
• 0–2 years of hands-on experience with Python, Docker, LLMs (prompting, API calls, basic fine-tuning or RAG) and MCP tools.
• Fluent English; Dutch is a plus.
• Right to work in the Netherlands.
• You use only AI tools approved by Cyberdune; plus: Kubernetes, Azure, behaviour-driven development, Claude, BPMN, Petri nets, Neo4j, PostgreSQL, Kafka, Redis, Node.js.

Responsibilities

• Build and test AI agents and their supporting components using Python, Docker, LLMs and MCP tools.
• Write and refine prompts and agent logic, and evaluate model behaviour against defined cases.
• Package and run components in Docker for local development and testing.
• Follow code review, testing and security practices set by the team.
• Document own work clearly, including setup steps and known limitations.
• Ask for help and elevate blockers early rather than guessing.

Skills

Python

Docker

LLMs

APIs

MCP tools

Prompting

Testing

Documentation

Team collaboration

Education

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

Tools

Kubernetes

Azure

Neo4j

PostgreSQL

Kafka

Redis

Node.js

Job description

Cyberdune Agents is building and maintaining AI agents on our multi-agent platform. You will turn client requirements into working, tested code using Python, Docker, LLMs and MCP tools. You’ll refine prompts and agent logic, and ensure reliable model behaviour across defined cases.

Join a team that emphasizes solid documentation, rigorous testing, and responsible AI practices. This role offers a collaborative environment, cutting-edge research opportunities, and 25 vacation days in an innovative