Data / Knowledge Engineer

Data / Knowledge Engineer

• Develop LLM applications using Amazon Bedrock and prompt engineering.

• Implement RAG patterns and knowledge graph integration.

• Build graph-augmented generation and subgraph retrieval for context injection.

• Develop Python/TypeScript AI pipelines using LangChain, LlamaIndex, or equivalent.

• Implement Text2SQL solutions.

• Design ontologies and knowledge representations.

• Model entities, dependencies, and lineage using graph databases.

• Amazon Bedrock

• Prompt engineering

• RAG patterns

• Knowledge graph integration

• Graph-augmented generation

• Subgraph retrieval

• Python / TypeScript

• LangChain, LlamaIndex, or equivalent

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