AI/ ML Engineer

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

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.

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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

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!

ab sofort

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Dein Job bei PINKTUM!

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