aimlroles

Research Engineer (1 year contract), University Research Office

Singapore University of Social Sciences suss.edu.sg Open · verified Oct 22, 2026
Singapore Mid-level AI Research

At a glance

Mid-level AI Research role at Singapore University of Social Sciences. Singapore.

Pay not stated Research Engineer salary

RoleAI Research
SeniorityMid-level
LocationSingapore
PostedSep 16, 2026 · 5w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and maintain multi-agent architectures, including the protocols agents use to communicate
  • Write algorithms for data processing, scoring and decision-making
  • Connect LLM APIs and create automated text-processing workflows
  • Add hooks for system notifications and links into external applications
  • Test and tune the system, then fix software bugs

What you bring

  • A bachelor’s or master’s degree in computer science, computer engineering or an equivalent field
  • Proficiency in Python and integrating APIs across a full-stack system
  • Experience with AI and LLM integration frameworks, plus microservices
  • Familiarity with Docker or similar container tools and software performance tuning

Who this fits

This renewable contract role suits a research engineer who can build AI-enabled software and troubleshoot algorithms and system performance. The appointment is for one year.

From the employer

About The Job

The Singapore University of Social Sciences seeks candidates for a renewable contract appointment as a Research Engineer.

What You Will Be Doing

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.

Job Requirements

  • 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.