AI/ML Engineer building FastAPI-based RAG systems for personalized e-learning experiences. Develop and maintain AI services while collaborating with product and engineering teams in a dynamic environment.
Responsibilities
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
Requirements
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
Benefits
flexible working with 100% confidence!
complete state of the art home office equipment
corporate benefits platform offers attractive products and services at special rates
individual training opportunities and exclusive access to all learning content from PINKTUM and the entire Pawlik Group
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