About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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