What you’ll be doing

We are seeking someone who views the Knowledge Graph not just as a database, but as a living organism that requires constant care, feeding, and pruning. You understand that a RAG system is only as good as the data underlying it. You are intrigued by the complexity of ingesting massive, messy datasets and transforming them into clean, connected knowledge.

In short, someone who likes:

• Architecting Graph ETL: Designing and developing robust ETL pipelines specifically for graph ingestion. You aren’t just dumping rows into tables; you are determining how disparate data sources connect, evolve, and relate in a graph structure.
• Data Ingestion at Scale: Managing high-volume data streams using tools like Kafka and implementing CDC (Change Data Capture) patterns to ensure the graph reflects real-time reality.
• Automated Graph Hygiene: Writing scripts and jobs for ded...