Python Developer – AI & Data Pipelines (f/m/d)

About the Position

Do you want to do more than just train models and instead build the infrastructure that makes them production-ready? At go AVA, you develop scalable data pipelines and RAG-based services that provide our AI avatars with knowledge – using PyTorch, FastAPI, and Qdrant in a modern microservice architecture.

Location: Essen / Remote

Employment: Full time

Work model: Remote

Level: Senior

Responsibilities

• Development of scalable data processing pipelines for training and inference of AI models
• Development of Python services that integrate seamlessly into our microservice architecture
• Working with Qdrant for vector search and development of RAG-based applications including hybrid retrieval
• Building high-performance APIs with FastAPI for our AI services and integrating ML models with PyTorch

Requirements

• Strong Python skills and experience with data processing
• Experience with PyTorch, TensorFlow, or comparable ML frameworks
• Knowledge of FastAPI or similar web frameworks
• Understanding of microservice architectures and API design
• Experience with vector databases (Qdrant, Pinecone) and hybrid/RAG retrieval is an advantage
• Experience with workflow orchestration (e.g., Prefect) is a plus
• Fluent German skills

We Offer

• Work on the infrastructure that makes AI production-ready in the first place – instead of notebook experiments, you build pipelines that run in live operation
• Hands-on RAG and vector search experience with Qdrant instead of pure theory – your code helps determine how relevant our avatars' responses are
• Clear microservice architecture with FastAPI instead of monolithic legacy code
• Freedom to actively contribute modern approaches such as hybrid retrieval or workflow orchestration with Prefect
• Remote work from anywhere in Germany instead of mandatory on-site presence
• A short, straightforward application process: initial call, video interview, team meeting
• Annual salary €50,000–70,000, depending on experience

About the Company

At go AVA, we are dedicated to developing scalable data pipelines and RAG-based services that provide our AI avatars with knowledge. We use PyTorch, FastAPI, and Qdrant in a modern microservice architecture.