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Research Engineer (LLM and AI Applications) - FG

Research Engineer (LLM and AI Applications) - FG

Singapore Institute of Technology
Fresher
Not Disclosed
  • Posted 36 minutes ago
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Job Description

Job Description

Research Engineer (LLM and AI Applications) - FG

Posting Start Date: 09/11/2026

Schemes of Service: Research

Division: AI & Data Science

Employment Type: Fixed Term

Research Engineer (LLM and AI Applications)

Job Description

We are seeking a motivated and technically skilled Research Engineer to join a research project focusing on the development of AI-powered solutions for industrial operations and maintenance (O&M).

The successful candidate will conduct research and development in large language models (LLMs) and AI applications, e.g. intelligent agents, with a particular focus on customizing LLMs for industrial O&M applications.

Key Responsibilities

  • Research, develop, and customize LLM-based solutions for industrial O&M applications, including maintenance knowledge retrieval, fault diagnosis, inspection assistance, and operational support.
  • Develop and implement techniques such as prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning to adapt LLMs to domain-specific requirements.
  • Design and implement knowledge bases and retrieval pipelines using maintenance manuals, inspection records, operational procedures, and other technical documents.
  • Integrate LLM-based applications with computer vision models, sensor data, and other AI components to support intelligent inspection and diagnosis.

Job Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Computer Engineering, or a related discipline.
  • Hands-on experience with LLMs, including one or more of the following: prompt engineering, RAG, model fine-tuning, or LLM-based application development.
  • Demonstrated experience in relevant LLM related AI/ML research, software development, or applied R&D projects.
  • Strong analytical, problem-solving, and software debugging skills.
  • Good communication skills and ability to work effectively in a multidisciplinary research team.

More Info

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Key Skills

retrieval-augmented generation (RAG)

model fine-tuning

sensor data

computer vision models

large language models (LLMs)

LLM-based application development

prompt engineering