Research Engineer II (Computer Science / Artificial Intelligence / Software...

Nanyang Technological University; Singapore; Vor Ort; SGD 60.000 - 90.000; Vollzeit

Zusammenfassung

Nanyang Technological University’s Advanced Technology and AI Center (ATMRI) seeks a Research Engineer II to advance the Digital ATCO Assistant project. You will design AI-enabled applications, integrate LLMs, RAG, AI agents, and operational data sources, and deliver end-to-end prototypes for air traffic management.

Collaborating with domain experts and controllers, you will build backend services, APIs, and system connectors, implementing robust evaluation, logging, and deployment workflows.

Qualifikationen

• Master’s degree required in a relevant field (CS/AI/SE/IS).
• At least 1 year of software engineering, systems integration or AI application delivery experience.
• Strong experience with Python, backend development, APIs, databases, and system integration.
• Experience building or integrating LLM apps, RAG systems, AI agents, or orchestration workflows.
• Ability to develop reliable end-to-end prototypes rather than standalone models.
• Good communication and teamwork skills.
• Interest or experience in aviation, ATC, or safety-critical AI is a plus.

Aufgaben

• Design, develop, and integrate AI-enabled applications for the Digital ATCO Assistant project.
• Build end-to-end systems combining LLMs, RAG, AI agents, tool calling, workflow orchestration, and data sources.
• Integrate AI components with existing enterprise systems via APIs, databases, authentication, and messaging.
• Develop backend services, user interfaces, and connectors for prototypes and pilots.
• Implement evaluation, logging, monitoring, traceability, and feedback for AI-assisted workflows.
• Collaborate with domain experts and controllers to translate use cases into system requirements and tests.
• Support testing, demonstrations, technical docs, and deployments.
• Contribute to reports, proposals, publications, and collaborations with academic/industry/regulatory partners.

Kenntnisse

Python

Backend development

APIs

Databases

System integration

LLM applications

RAG systems

AI agents

Agent orchestration

End-to-end prototypes

Communication skills

Multidisciplinary teamwork

Aviation domain interest

Ausbildung

Master’s degree in Computer Science, AI, Software Engineering, Information Systems, or related field

Tools

Python

Jobbeschreibung

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.