Knowledge Graph Architect & LLM Engineer

A*STAR RESEARCH ENTITIES

Singapore

On-site

SGD 90,000 - 130,000

Full time

7 days ago
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Job summary

A*STAR RESEARCH ENTITIES is seeking a Knowledge Engineer to design, construct, and maintain knowledge graphs derived from diverse enterprise documents. You will leverage LLMs for knowledge extraction, ontology-driven structuring, and QA over graphs to support intelligent search and reasoning.

You will design schemas, model entities and relationships, normalize data, and implement storage in Neo4j/GraphDB. Collaboration with domain experts and stakeholders is essential to refine ontologies and

Qualifications

  • Proficiency in ontology design and knowledge-graph modeling with semantic data representation.
  • Strong experience with prompt engineering and LLM-based workflows.
  • Hands-on work with LLMs (closed- and open-source).
  • Experience with graph databases such as Neo4j and GraphDB.

Responsibilities

  • Design, construct, and maintain knowledge graphs from heterogeneous documents.
  • Leverage LLMs to extract structured knowledge from unstructured data.
  • Develop LLM-powered QA and interaction pipelines over knowledge graphs.
  • Collaborate with domain experts to refine ontologies and extraction logic.
  • Process documents in multiple formats (Word, PDF, PowerPoint, Excel).
  • Implement and manage knowledge graph storage using graph databases.

Skills

Ontology design
Knowledge graph modeling
Semantic data representation
Prompt engineering
LLMs

Tools

Python
Neo4j
GraphDB
Cypher

Job description

A*STAR RESEARCH ENTITIES is seeking a Knowledge Engineer to design, construct, and maintain knowledge graphs derived from diverse enterprise documents. You will leverage LLMs for knowledge extraction, ontology-driven structuring, and QA over graphs to support intelligent search and reasoning.

You will design schemas, model entities and relationships, normalize data, and implement storage in Neo4j/GraphDB. Collaboration with domain experts and stakeholders is essential to refine ontologies and

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