AI Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du robuste und skalierbare KI-Systeme, arbeitest eng mit Data Scientists zusammen und optimierst die Qualität durch Metriken und Tests, während du agile Methoden anwendest und neue Technologien erkundest. Job Zusammenfassung In dieser Position entwickelst du robuste und skalierbare KI-Systeme, arbeitest eng mit Data Scientists zusammen und optimierst die Qualität durch Metriken und Tests, während du agile Methoden anwendest und neue Technologien erkundest. Deine Rolle im Team Remote in our day-to-day work. On-site when it matters. We work remote by default - focused, efficient, and with full ownership. For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin - fast, hands-on, and without unnecessary meeting overhead. We use AI to accelerate - not to replace thinking. We design the system, steer the output, and take responsibility for what we ship. Fast where it makes sense. Careful where it matters. As an AI Engineer, you take ownership of the architecture and operation of our AI agents. You work closely with Data Scientists to turn AI prototypes into robust, reliable, and scalable production systems - and continuously evolve them. Design, Build & Run: Architect reliable AI systems. Measure & Improve Quality: Define metrics, run systematic evaluations, and conduct A/B testing. Bridge the Gap: Work closely with Data Scientists to bring prototypes into production. Explore New Frontiers: Evaluate and apply the latest AI/ML technologies and practices. Unsere Erwartungen an dich Qualifikationen Apply software engineering best practices consistently - testing, clean code, and solid architecture. Stay curious and actively explore new technologies, applying them where they create real value. Work effectively in agile, cross-functional teams where fast delivery, learning, and iteration are the norm. Use Python and AI frameworks such as Pydantic-AI, LangGraph, or similar to build robust solutions. Use Docker and docker-compose to containerize applications. Work confidently with Git as a core tool for team collaboration. Erfahrung Bonus (nice to have): Bring experience with SQL, Spark, Kubernetes, Grafana, Prometheus, Graylog, Jenkins, or Java, and apply it to further improve our systems. Unser Angebot Ownership over tickets: You're trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement - we rely on you to take things forward. Build > Talk: We test what works - not what sounds good. Fail fast, learn faster. High standards, low ego: We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama. Stay sharp: Hackathons, conferences, community - we invest in your growth and keep you at the cutting edge. And yes - the fundamentals are covered too: 30 days of vacation + Dec 24 & 31 off, Smart Fridays (4 days week possible), mobility (Germany ticket & JobRad), sports & health offerings, mental health support, corporate benefits, RTL+ access, and more. Benefits Gesundheit, Fitness & Fun 🚲 Jobrad 🎳 Team Events 🏋🏿‍♂️ Fitness Angebote Essen & Trinken ☕️ Kaffee, Tee o. Ä 🍏 Frisches Obst Work-Life-Integration 🏠 Home Office Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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