Research Engineer I (Trust Technologies)
At a glance
Mid-level AI Research role at Ntu. NTU Main Campus · full-time.
Pay not stated Research Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Prototype LLM agents and multi-agent systems, showing how research methods could become new insurance capabilities
- Build systems for underwriting, claims, policy servicing and risk assessment with the centre’s researchers
- Create agent tools and evaluation methods that help research partners test and demonstrate insurance use cases
- Document agent design, testing, safeguards and trust approaches in technical materials, presentations and papers
- Explain complex AI research in business and technical terms, and track developments with global partners and researchers
What you bring
- A bachelor’s or master’s degree in computer science, AI, data science, software engineering or a related discipline
- Strong practical experience with LLMs, prompt design, retrieval-augmented generation and agent or multi-agent frameworks
- Python skills and experience building production AI applications, APIs, evaluation pipelines or agent orchestration systems
- Knowledge of AI safety, model evaluation, monitoring, privacy, explainability and responsible practices in regulated settings
Who this fits
This role suits someone who can connect AI research with working systems and explain technical ideas clearly to business and engineering audiences. You’ll work on insurance applications at NTU’s Main Campus in Singapore.
From the employer
Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for its people and businesses by providing businesses and consumers with greater assurance and confidence as they digitalize.
We are looking for a Research Engineer to design, development and deployment of LLM-powered AI agents that transform core insurance workflows, including underwriting, claims, policy servicing, risk assessment and customer engagement. The role will build autonomous and multi-agent systems capable of interpreting insurance documents, applying policy rules, supporting decision-making and executing end-to-end processes, while ensuring reliability, compliance and human oversight. By combining large language models, agentic AI frameworks and insuranc domain knowledge, this position will help the business improve operational efficiency, decision quality, customer experience and responsible AI adoption across the insurance value chain.
Key Responsibilities:
- Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand complex AI and LLM research concepts
- Conduct research into LLM-powered AI agents and multi-agent systems – translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productised into new insurance capabilities.
- Work closely with Centre's researchers to design and develop system implementation work from research into the product, supporting key insurance workflows such as underwriting, claims, policy servicing and risk assessment.
- Design and build working agent tools and evaluation frameworks that can support the technology transfer of new AI capabilities to research partners and can be used to showcase the value of LLM-based agentic AI in insurance.
- Write and maintain technical documentation, presentations, and papers on AI agent design, evaluation, guardrails and trust mechanisms, helping to educate and raise the overall competency in responsible AI and trust technologies for insurance applications.
- Engage global partners and researchers to understand latest trends in LLMs, agentic AI and insurance technology, and advance Singapore's mindshare in trustworthy AI agent systems for the insurance sector.
Job Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related discipline; Relevant LLM or AI agent research experience is preferred.
- Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand complex AI and LLM research concepts
- Strong hands-on experience with large language models, prompt engineering, retrieval-augmented generation, agent frameworks and multi-agent system design
- Proficiency in Python and common AI/ML tools and frameworks, with experience building production-grade AI applications, APIs, evaluation pipelines or agent orchestration systems
- Solid understanding of AI safety, guardrails, model evaluation, monitoring, data privacy, explainability and responsible AI practices in regulated environments
- Good knowledge of system platform development, database technologies, and software engineering best practices
- Experience in insurance, financial services or other regulated domains is preferred, including familiarity with underwriting, claims, policy servicing, risk assessment or customer engagement workflows
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU