AI Developer (Agents & Automation) (m/f/d)

AI EngineerMachine Learning EngineerFull TimeRemoteMid LevelTeam 51-200

Location

Germany

Posted

60 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

AI Developer (Agents & Automation) (m/f/d)

Neuland AI AG

Ziel der Rolle Wir gehen über reine Prototypen hinaus und bauen produktionsreife KI-Systeme, die echten Mehrwert liefern. Unsere Lösungen automatisieren komplexe Workflows, unterstützen fundierte Entscheidungen und verändern nachhaltig, wie Organisationen arbeiten. Wir suchen einen AI Engineer (m/f/d), der sich an der Schnittstelle von verteilten Systemen, KI-Architektur und realer Automatisierung bewegt – und dort nicht nur Konzepte entwirft, sondern sie auch zuverlässig in die Produktion bringt. Du fühlst dich wohl damit, Systeme zu bauen, die unter echten Bedingungen laufen: skalierbar, robust und eng integriert in bestehende Prozesse. Deine Aufgaben - Entwicklung und Implementierung von KI-gestützten Features wie intelligenten Agenten, Wissensassistenten und Automatisierungstools - Aufbau und Weiterentwicklung von Agentenfähigkeiten (z. B. Tool-Nutzung, Memory, Kontextmanagement und Task-Ausführung) - Entwicklung von Retrieval-Augmented-Generation-(RAG)-Pipelines sowie Integration von Wissensabruf über Vektordatenbanken - Integration von LLM-Anbietern (z. B. OpenAI, Azure OpenAI, Anthropic sowie Open-Source-Modelle) in Produktfeatures - Aufbau von Datenpipelines zur Anbindung von KI-Systemen an interne Wissensquellen, externe APIs und Enterprise-Systeme - Implementierung von Streaming-Antworten, Hintergrundverarbeitung und Mechanismen zur Task-Ausführung in KI-Workflows - Evaluation und Benchmarking von KI-Tools, Modellen und Prompting-Strategien zur Verbesserung von Performance und Zuverlässigkeit - Monitoring und Optimierung des KI-Verhaltens durch Logging, Testing, Evaluation und iterative Verbesserungen - Optimierung von KI-Features hinsichtlich Latenz, Kosten und praktischer Nutzbarkeit - Mitwirkung an der kontinuierlichen Weiterentwicklung von KI-Funktionalitäten und der Erprobung neuer Technologien Dein Profil - Mehrjährige Backend-Erfahrung in Python (mindestens 5 Jahre) - Erfahrung im Design skalierbarer, verteilter Systeme und asynchroner Architekturen - Praktische Erfahrung mit KI-Agenten-Frameworks (z. B. LangChain, LlamaIndex oder vergleichbar) - Tiefes Verständnis von RAG-Architekturen, Embeddings, Vektorsuche und Wissensabruf - Erfahrung mit Voice AI, Streaming-Inferenz oder Echtzeitsystemen - Erfahrung in der Integration von LLM-APIs sowie im Aufbau zuverlässiger KI-Workflows - Vertrautheit mit PostgreSQL, Caching-Layern sowie Queue-Systemen (z. B. Celery, Redis, RabbitMQ) - Ausgeprägtes Engineering-Mindset: Testing, Monitoring, Logging, Security und Performance-Optimierung - Fähigkeit, experimentelle KI-Ansätze in stabile, produktionsreife Features zu überführen Nice to have - Erfahrung mit graphbasierten Reasoning-Systemen und Knowledge Graphs - Erfahrung mit Frameworks zur Modellevaluation sowie Strategien zur Prompt-Optimierung - Erfahrung im Bereich Context Engineering - Erfahrung in der Kostenoptimierung beim Einsatz von LLMs im großen Maßstab - Erfahrung mit Docker, Cloud-Plattformen (Azure, GCP, AWS) und CI/CD-Pipelines Was wir bieten - Impact: Aufbau intelligenter Systeme, die den Einsatz von KI in Unternehmen neu definieren - Innovation: Arbeit mit modernsten Frameworks und Modell-Ökosystemen - Kultur: Kollaboratives, kreatives und eigenverantwortliches Team - Flexibilität: Remote-first und flexible Arbeitszeiten - Wachstum: Zugang zu KI-Ressourcen, Tools und Weiterbildungen - Beteiligung: Virtual Stock Option Plan (VSOP)

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