Senior Graph AI Engineer
North Chicago, United States
USD 141K-202K (estimate) Senior-level Full Time
Tasks
- Build generative AI applications
- Build ontologies
- Deploy models via APIs
- Design knowledge graphs
- Develop and optimize Cypher queries
- Develop graph data models
- Implement RAG with knowledge graphs
- Integrate graph data with AI ML pipelines
- Manage knowledge graphs
- Orchestrate context for LLMs
- Perform prompt engineering
- Support MLOps workflows
- Tune graph workload performance
Perks/Benefits
- N/A
Skills/Tech-stack
API deployment | Cloud Architecture | Context orchestration | Cypher | Data Modeling | Fine Tuning | Graph Data | Graph Data Modeling | Graph Databases | Graph querying | Knowledge graphs | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Evaluation | Neo4j | Ontology Development | Performance Tuning | Prompt engineering | RAG | Scalability
Education
N/A
Roles
AI Engineer | Engineer | Graph AI Engineer | Senior Graph AI Engineer
Regions
Countries
States
Cities
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