AI Automation Engineer – m/f/d

Spacedome Media GmbH

. Build data infrastructure, integrations, and automations for SPACEDOME Intelligence .

Posted 10/3/2026full-timeRemote • GermanyJuniorMid-Level💰 €42,000 - €48,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building data infrastructure and automations, with a strong focus on integrating AI into marketing workflows. Proficient in developing LLM-based tools and ensuring system adoption for measurable business impact.

Highest-signal resume keywords

Python ProgrammingNode.js DevelopmentLLM API IntegrationData Pipeline DevelopmentAutomation and Integration Building

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Applicant Tracking System Keywords

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Hard Skills

PythonNode.jsLLM APIsData PipelinesAutomationIntegrationsTechnical WorkflowsQuality AssuranceREST APIsWebhooks

Soft Skills

Independent WorkProblem Solving

Tools & Technologies

OpenAIAnthropicOAuthRate LimitsPagination

Industry Keywords

Marketing WorkflowsBusiness ImpactConsulting SupportImplementation

Tech Stack

Tools & technologies

JavaScriptNode.jsPython

About the role

Key responsibilities & impact

Build data infrastructure, integrations, and automations for SPACEDOME Intelligence
Bring AI into existing marketing workflows, both for clients and within our internal processes
Develop LLM-based tools and agents, for example for media buying, content, and churn prevention
Ensure that systems are actually adopted and deliver direct business impact
Provide comprehensive strategic support to consulting clients on META and assist them with implementation

Requirements

What you’ll need

At least 2 years of practical experience building automations, integrations, or technical workflows
You have built systems that ran in production and were used by other people—not just prototypes, tutorials, or side projects left on the shelf
Proficient in Python or Node.js: You write code that remains maintainable three months from now
Experience with LLM APIs (OpenAI, Anthropic, or similar) and building tools or agents on top of them—including the less glamorous aspects: edge cases, costs, and quality assurance
Confident integrating with third-party APIs: REST, webhooks, OAuth, rate limits, and pagination—even when the documentation is incomplete
Experience with data pipelines: combining data from multiple sources, modeling it cleanly, and making it usable for reporting
You work independently and identify what needs to be built—you will not receive tickets telling you what to do