Knowledge Engineer (Social Cognitive Computing Department), IHPC

A*STAR RESEARCH ENTITIES

Singapore, Singapore
Not specified; not specified; not specified
Not specified
Knowledge graph construction and maintenance
Python programming for nlp pipelines
Llm-based information extraction workflows
The Knowledge Engineer position at A*STAR Research Entities in Singapore focuses on designing and maintaining knowledge graphs using Large Language Models (LLMs) to enhance intelligent search and decision-making systems. The role requires expertise in ontology design, data modeling, and proficiency in Python, along with a solid understanding of LLM workflows and graph databases

Job Summary

  • The Knowledge Engineer will leverage Large Language Models to extract structured knowledge from heterogeneous enterprise documents such as maintenance manuals and troubleshooting guides.
  • Responsibilities include designing ontologies, modeling entities and relationships, and managing storage within graph databases like Neo4j and GraphDB.
  • The role involves developing LLM-powered question answering pipelines that enable natural language queries with context-aware responses grounded in structured knowledge.

Matching Summary

Match Score: 85

The Knowledge Engineer position at A*STAR Research Entities in Singapore focuses on designing and maintaining knowledge graphs using Large Language Models (LLMs) to enhance intelligent search and decision-making systems. The role requires expertise in ontology design, data modeling, and proficiency in Python, along with a solid understanding of LLM workflows and graph databases.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Knowledge graph construction and maintenance
  • Python programming for NLP pipelines
  • LLM-based information extraction workflows
  • Graph database management (Neo4j/GraphDB)
  • Ontology design and semantic data modeling

Nice-to-have

  • Experience with RDF, OWL, SPARQL, or Cypher
  • Strong analytical and problem-solving skills
  • Ability to collaborate with domain experts
  • Continuous learning in LLM and NLP advances
  • Effective communication with technical stakeholders

Key Requirements

  • Proficiency in Python and NLP pipeline development
  • Hands-on experience with closed-source and open-source LLMs
  • Solid understanding of prompt engineering and LLM workflows

Work Rights

Not specified

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