AI Knowledge Data Engineer
Tasks
- Architect RAG workflows
- Build knowledge bases for AI agents
- Design cognitive memory systems
- Design data pipelines for ingest and indexing
- Evaluate and integrate AI research advancements
- Fuse heterogeneous data sources
- Implement knowledge retrieval and ranking
- Integrate local LLMs with retrieval
- Maintain documentation
- Maintain ontologies and knowledge graphs
- Orchestrate training data operations
Perks/Benefits
- Dental insurance
- Flexible benefits
- Free parking
- Health insurance
- Special discounts
- Team bonding events
- Work-life balance
Skills/Tech-stack
Apache Airflow | Data Curation | Data Lineage | Data Management | Data Pipelines | Data Processing | Data Versioning | Data models | Distributed data | Distributed data processing | Elasticsearch | Faiss | Information Retrieval | Knowledge graphs | Kubeflow | Language Models | Large Language Models | Machine Learning | Milvus | OWL | Ontologies | Pinecone | PyTorch | Python | RDF | Ranking algorithms | Retrieval-Augmented Generation | SPARQL | Semantic data | Semantic data models | Spark | TensorFlow | Training data | Training data management | Vector Search | Weaviate
Education
Roles
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