Engineer, Infra Digitalisation Techno-Environment

• Knowledge in Engineering, Computer Science, Data Science, or Knowledge Engineering with experience or a thesis project tied to multi-disciplinary engineering data applications

Technical Skills & Expertise

• AI & Machine Learning: Hands-on experience building or fine-tuning NLP models, setting up vector databases (e.g., Pinecone, Chroma, Milvus), and deploying RAG pipelines
• Programming: Proficiency in Python (including libraries like LangChain, LlamaIndex, Pandas, or PyTorch)
• Knowledge Structuring: Familiarity with taxonomy building, ontologies, and knowledge graphs (e.g., Neo4j, RDF)
• Engineering Domain Awareness: Ability to read and comprehend technical civil engineering documentation, engineering drawings, and structural safety studies

Job Title: [LTA-IDE] Engineer, Infra Digitalisation Techno-Environment

• Group-Wide Taxonomy Definition: Collaborate with technical leads across all divisions of IDE to establish a unified corporate engineering taxonomy and semantic framework.
• AI-Powered Knowledge Management (KM) Architecture: Apply and customise AI-driven solutions (such as Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Natural Language Processing (NLP)) to index, summarise, and retrieve complex technical information.
• Data Pipeline Development: Build and maintain pipelines that ingest diverse, unstructured engineering formats (PDFs, CAD/BIM metadata, scanning reports) and convert them into machine-readable knowledge graphs.
• Cross-Functional Delivery: Work alongside IT infrastructure teams, external vendors, and in-house engineering divisions to ensure the KM system integrates seamlessly into daily engineering workflows and design processes.

• Knowledge in Engineering, Computer Science, Data Science, or Knowledge Engineering with experience or a thesis project tied to multi-disciplinary engineering data applications

Technical Skills & Expertise

• AI & Machine Learning: Hands-on experience building or fine-tuning NLP models, setting up vector databases (e.g., Pinecone, Chroma, Milvus), and deploying RAG pipelines
• Programming: Proficiency in Python (including libraries like LangChain, LlamaIndex, Pandas, or PyTorch)
• Knowledge Structuring: Familiarity with taxonomy building, ontologies, and knowledge graphs (e.g., Neo4j, RDF)
• Engineering Domain Awareness: Ability to read and comprehend technical civil engineering documentation, engineering drawings, and structural safety studies

• Working hours: Monday to Thursday 8.30am to 6pm; Friday 8.30am to 5.30pm
• S-Pass or EP sponsorship available
• 2-year or 3-year contract; extension possible based on good performance
• Annual leave: 18 days
• Flexible benefits allowance
• Travel allowance of SGD 120 per month on public transport

★★★ IMPORTANT NOTICE (PLEASE READ)

* This job posting is for a company participating in the 2026 KOTRA Singapore Job Fair, which will be held on Friday, 13 November 2026, at Carlton Hotel Singapore.

* Interviews will be conducted either in person at the venue or online via video call on the day of the event.

* Only shortlisted candidates will be contacted individually with further details regarding the interview arrangements.

* Shortlisted candidates are kindly requested to confirm their availability and preferred interview format (in person or online) upon receiving the notification.