Research Engineer: AI/LLM Systems & Microservices

Singapore University of Social Sciences; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Singapore University of Social Sciences seeks a Research Engineer for a renewable contract appointment. The role focuses on designing, developing, and maintaining multi-agent system architectures, with emphasis on inter-agent communication and data-driven decision making.

The successful candidate will implement core algorithms, integrate AI/LLM frameworks, and build automated text-processing pipelines while ensuring robust testing and performance optimizations.

Qualifications

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or equivalent.
• Proficient in Python and full-stack API integration.
• Experience with AI/LLM integration frameworks and system microservices.
• Familiarity with containerization tools (Docker) and software performance tuning.
• Strong analytical, bug-fixing, and algorithmic problem-solving skills.

Responsibilities

• Design, develop, and maintain multi-agent system architectures and inter-agent communication protocols.
• Implement core algorithms for data processing, scoring, and decision-making logic.
• Integrate LLM APIs and build automated text-processing pipelines.
• Program integration hooks for system notifications and external application deep-links.
• Execute system testing, optimization, and software bug fixes.

Skills

Python

Full-stack API integration

AI/LLM integration

Docker

Algorithm design

Education

Bachelor's degree in Computer Science or Computer Engineering

Master's degree in Computer Science or related

Tools

Docker

Job description

Singapore University of Social Sciences seeks a Research Engineer for a renewable contract appointment. The role focuses on designing, developing, and maintaining multi-agent system architectures, with emphasis on inter-agent communication and data-driven decision making.

The successful candidate will implement core algorithms, integrate AI/LLM frameworks, and build automated text-processing pipelines while ensuring robust testing and performance optimizations.