AI Automation Engineer – m/f/d

🔥 52 minutes ago

🇩🇪 Germany – Remote

💵 €42k - €48k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 QA Automation Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 7%

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🗣️🇩🇪 German Required

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Logo of Spacedome Media GmbH

Spacedome Media GmbH

1 - 10 employees

💼 Consulting

📣 Marketing

🛍️ eCommerce

Consulting • Marketing • eCommerce

Spacedome Media GmbH is a German performance marketing and media agency that specializes in scaling e‑commerce brands through social media advertising. They provide agency, consulting and hybrid engagement models, help build in‑house teams, and focus on strategy, creative production, testing, scaling and iteration. As a Meta Business Partner that runs its own successful e‑commerce brand, Spacedome emphasizes case-study driven, holistic growth for online shops and selects a small number of high‑potential clients for long‑term, sustainable scaling.

📋 Description

• 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

• 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

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