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AI/ ML Engineer

AI/ ML Engineer

AI/ ML Engineer

AI/ ML Engineer

Pink University GmbH

E-Learning

Hamburg

  • Art der Anstellung: Vollzeit
  • 59.500 € – 76.000 € (von XING geschätzt)
  • Hybrid
  • Aktiv auf der Suche

AI/ ML Engineer

Über diesen Job

AI/ ML Engineer

Pink University GmbH

Das machst du bei uns:

You’ll be the driving force behind a production-ready, fully asynchronous FastAPI-based RAG (Retrieval-Augmented Generation) system that powers personalized e-learning experiences.
This role is perfect for someone who loves to design AI architecture and get their hands dirty building and deploying it — taking things from idea to "running on the big machine.”
You’ll own the full lifecycle: from architecture and implementation to deployment, monitoring, and continuous improvement.
Expect to work closely with product and engineering teams where research meets production — building things that actually ship, scale, and make a difference.

What you’ll do

  • Develop and maintain a fully asynchronous FastAPI backend for AI services
  • Build and scale a RAG pipeline using Qdrant (vector search) and PostgreSQL (metadata)
  • Design modular, scalable NLP and LLM architectures — from embedding pipelines to agent orchestration
  • Create APIs that connect frontends with AI systems and make data flow seamlessly
  • Deploy and monitor using Docker, Kubernetes, Prometheus, and Grafana
  • Collaborate across teams to translate ideas into reliable, high-performing systems

Das bringst du mit:

You bring both architectural understanding and hands-on coding energy .
You’re reliable, detail-oriented, and curious — someone who enjoys making complex systems work smoothly in the real world.

What you bring

  • Strong Python skills, especially with FastAPI and async development
  • Solid understanding of RAG systems, vector databases (like Qdrant), and NLP pipelines
  • Experience with PostgreSQL, Docker, and basic deployment workflows
  • Familiarity with AWS S3 operations and ETL/text data processing
  • Ownership mindset — you care about reliability, performance, and clean delivery
  • Clear communication and a collaborative, team spirit attitude
  • You communicate fluently in English and also feel confident in German.

Bonus Skills
Nice-to-have, but not deal-breakers — if you’re eager to learn, we’ll support you:

  • Knowledge graphs (e.g. Neo4j) and graph databases
  • Monitoring and observability with Prometheus and Grafana
  • Kubernetes-based deplyoments and GitLab CI/CD workflows
  • Understanding of multi-agent orchestration or reranking strategies

You live in or around Hamburg and enjoy working regularly in the office

Das bieten wir dir:

What we offer
  • You work in a young and diversified company with start-up character
  • We have flat hierarchies and open communication
  • You can expect a friendly, motivated and very cooperative team
  • At home, in the office or even from somewhere else? We offer you flexible working with 100% confidence!
  • In addition, there is a complete state of the art home office equipment
  • Let's go shopping! Our corporate benefits platform offers attractive products and services at special rates
  • To develop your full potential, we offer you individual training opportunities and exclusive access to all learning content from PINKTUM and the entire Pawlik Group!

Startdatum

ab sofort

Wir freuen uns über dein Interesse an PINKTUM und darauf, dich zeitnah kennenzulernen.

Wir freuen uns auf Bewerbungen von Menschen jeglicher Herkunft, religiöser Interessen, Geschlechtsidentität, sexuellen Orientierung und körperlichen Verfassung. Wir fordern gezielt unterrepräsentierte Gruppen auf sich zu bewerben und freuen uns auf ein Kennenlernen und Ausloten der Möglichkeiten innerhalb der PAWLIK Gruppe. Wir versuchen nicht diskriminierend, inkludierend und genderneutral zu kommunizieren. Sollte uns das jedoch mal nicht so gut gelingen – sprich uns gerne darauf an! Wir freuen uns dazulernen zu können.

Bitte fülle für deine Bewerbung kurz das folgende Formular aus. Solltest du Schwierigkeiten mit dem Upload deiner Daten haben, wende dich gerne per E-Mail an career@pinktum.com

Gehalts-Prognose

Unternehmens-Details

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Pink University GmbH

E-Learning

11-50 Mitarbeitende

München, Deutschland

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