Research Engineer: Local LLMs, RAG & Trustworthy AI

Aimlroles; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Nanyang Technological University's National Centre for Research in Digital Trust (DTC) at NTU is seeking a hands-on Research Engineer to build AI components for Projectx. You will lead end-to-end development of local LLM systems, RAG pipelines, model fine-tuning, NLP analytics, and deployment tooling in controlled environments.

The role emphasizes reliable operation, on-premise deployment, and clear communication of results to technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in computer science, AI, engineering, data science, software engineering, or a related field with 4 years of relevant working experience.
• Strong Python skills with hands-on experience in LLM/NLP development.
• Practical experience with RAG and model fine-tuning/PEFT; PyTorch and/or Hugging Face experience preferred.
• Working knowledge of Linux, Git, Docker, SQL, APIs, and modern data/model-serving workflows.
• Experience with local GPU deployment, vector databases, NLP analytics, or trustworthy AI/security controls is an advantage.

Responsibilities

• Build end-to-end local LLM/RAG pipelines for conversational analysis of large unstructured datasets.
• Fine-tune and adapt LLM/NLP models using supervised fine-tuning and PEFT techniques; benchmark against baselines.
• Implement NLP capabilities such as entity extraction, resolution, relationship analysis and project analytics.
• Develop backend APIs, database/vector-store integration, local model serving, GPU inference and containerized deployment.
• Implement access control, audit logging, traceable retrieval/output provenance, model isolation, and human-review workflows.
• Conduct systematic evaluation, security/robustness testing, and performance optimization.
• Maintain reproducible code, model/configuration versions, experiment records, and deployment instructions.
• Communicate results clearly to technical and non-technical audiences.

Skills

Python

LLM/NLP development

PyTorch/Hugging Face

Linux

Docker

Git

APIs

Vector databases

Education

Bachelor's degree in CS/AI/engineering or related field

Tools

Docker

Git

PyTorch

Hugging Face

Vector databases

Job description

Nanyang Technological University's National Centre for Research in Digital Trust (DTC) at NTU is seeking a hands-on Research Engineer to build AI components for Projectx. You will lead end-to-end development of local LLM systems, RAG pipelines, model fine-tuning, NLP analytics, and deployment tooling in controlled environments.

The role emphasizes reliable operation, on-premise deployment, and clear communication of results to technical and non-technical stakeholders.