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Research Engineer II (Computer Science / Artificial Intelligence / Software Engineering / Information Systems)

Ntu

NTU Main Campus, SingaporePosted 20 h agoDirect from company

  • LocationNTU Main Campus, Singapore
  • Work typeNot stated
  • EmploymentFull-time
  • Posted28 October 2026
  • SourceNtu's careers page (Workday)
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About the role

ATMRI at NTU is seeking a Research Engineer II to join the Digital ATCO Assistant project. The role focuses on developing intelligent assistants for air traffic management by integrating LLMs, Retrieval-Augmented Generation, AI agents, operational data, and user-facing applications.

Responsibilities:

- Design, develop, and integrate AI-enabled applications for the Digital ATCO Assistant project.

- Build end-to-end systems that combine LLMs, Retrieval-Augmented Generation, AI agents, tool calling, workflow orchestration, and operational data sources.

- Integrate AI components with existing enterprise systems through APIs, databases, authentication mechanisms, and message-based services.

- Develop backend services, user interfaces, and system connectors for prototypes and pilot deployments.

- Implement evaluation, logging, monitoring, traceability, and feedback mechanisms for AI-assisted workflows.

- Work with domain experts and controllers to convert operational use cases into system requirements and test scenarios.

- Support system testing, demonstration, technical documentation, and deployment activities.

- Contribute to technical reports, project proposals, publications, and collaboration with academic, industry, and regulatory partners.

Requirements:

- Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Information Systems, or a related field.

- At least one year of relevant experience in software engineering, systems integration, AI application development, or enterprise technology delivery.

- Strong experience with Python, backend development, APIs, databases, and system integration.

- Experience developing or integrating LLM applications, RAG systems, AI agents, or agent orchestration workflows.

- Ability to develop reliable end-to-end prototypes rather than standalone AI models.

- Good communication skills and ability to work effectively in multidisciplinary teams.

- Experience or interest in aviation, air traffic management, human-AI teaming, or safety-critical AI applications is an advantage.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

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