Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
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
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