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Research Engineer (LLM and AI Applications) - FG
Компания: Singapore Institute of Technology
Город: Singapore
**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.