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LLM & RAG Research Engineer - Construction Safety

Job in Kent, King County, Washington, 98089, USA
Listing for: National University of Singapore
Apprenticeship/Internship position
Listed on 2026-07-18
Job specializations:
  • Engineering
Salary/Wage Range or Industry Benchmark: 46461 - 69691 USD Yearly USD 46461.00 69691.00 YEAR
Job Description & How to Apply Below

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Job Description Job Alerts Link Apply now Research Engineer (LLM for Construction Safety)
University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Civil and Environmental Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 16/04/2026
Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Engineer to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle.

The successful candidate will play a pivotal role in assisting with the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns.

Job Requirements

• At least a bachelor’s in Civil Engineering, Built Environment, Computer Science or related field from a reputable university. Masters will be preferred.

• Evidence of strong publication record in top academic journals

• Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks

• Familiarity working with Large Language Models and building RAG architectures.

• Familiarity with BIM, IFC and graph databases.

• Strong research experience, specifically in past research projects related to robotics or scene graphs is required

• Strong written and oral communication skills.

• Open to fixed-term contract

Req  Apply now
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