Data Engineer (SMTS/LMTS) - Knowledge Graph & AI
California - San Francisco, United States
USD 148K-285K Senior-level Full Time
Tasks
- Build and integrate AI powered developer tools and automation
- Build and scale graph data models and ontologies
- Collaborate with product and data engineering teams
- Design and implement knowledge graph platform components
- Develop scalable data pipelines
- Develop semantic routing frameworks in Python
- Evaluate emerging graph and AI technologies
- Ingest and map structured and unstructured data
- Own platform features from design through production deployment
- Perform code reviews and write unit and integration tests
- Provide technical mentorship and guidance
- Route queries to knowledge graph indexes and vector databases
- Write complex graph queries
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Kafka | Azure | Entity Resolution | Event Driven | Event-driven architecture | GCP | GRPC | Graph Databases | Integration Testing | Knowledge graphs | Langchain | Microservices | Neo4j | Ontology Engineering | Property graphs | Python | RAG | RDF/OWL | REST APIs | Retrieval-Augmented Generation | SPARQL | Semantic Reasoning | Semantic Web | Shacl | Unit Testing | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
Regions
Countries
States
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