Research Engineer, Cybersecurity, IAIC

A*STAR Research Entities (A*STAR); Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

A*STAR Research Entities in Singapore is seeking a motivated Research Engineer to develop and evaluate AI-enabled cybersecurity solutions. The role emphasizes agentic AI, large language models, and intelligent automation, with strong Linux-based software and systems development skills.

You will join an interdisciplinary team and help identify cybersecurity challenges, shape research projects, and translate ideas into practical prototypes for industry partners.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, Cybersecurity, or related discipline.
• Strong Python programming and systems development skills in Linux environments, with working knowledge of C/C++.
• Sound understanding of cybersecurity fundamentals, including network security, systems security, and vulnerability analysis.
• Experience building LLM applications using Python-based frameworks.
• Understanding of agentic AI concepts, including planning, tool use, retrieval-augmented generation, and workflow orchestration.
• Familiarity with agentic AI frameworks and tool-integration protocols, such as the Model Context Protocol (MCP).
• Practical ability to use AI tools to support cybersecurity analysis, automate repetitive tasks, and improve research productivity.
• Familiarity with AI coding assistants and vibe-coding workflows, together with the ability to review, debug, and validate AI-generated code.
• Ability to work independently and collaboratively, with curiosity, initiative, and a willingness to learn.
• Strong written and verbal communication skills, including the ability to explain technical findings clearly.
• Commitment to research integrity and responsible engineering practices.
• Nice to have: Hands-on experience in red teaming, penetration testing, adversary emulation, or offensive security research.
• Nice to have: Knowledge of reverse-engineering tools (IDA Pro or Ghidra) and assembly language understanding.
• Nice to have: Experience assessing the security of LLM applications or agentic AI systems, including prompt injection, unsafe tool use, and data leakage.
• Nice to have: Experience developing and evaluating AI-enabled cybersecurity prototypes or research platforms.
• Nice to have: Experience integrating security tools into automated analysis workflows.
• Nice to have: Experience working with industry partners or translating research prototypes into operational applications.

Responsibilities

• Develop and evaluate AI-enabled cybersecurity solutions focusing on agentic AI, LLMs, and intelligent automation.
• Collaborate with interdisciplinary teams to identify cybersecurity challenges and shape research projects.
• Translate research ideas into practical prototypes and solutions for industry partners and researchers.
• Contribute to securing AI-enabled systems through rigorous experimentation and documentation.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python programming

Linux systems development

Cybersecurity fundamentals

LLM applications

Agentic AI concepts

C/C++ knowledge

Communication skills

Research integrity

Education

Bachelor’s or Master’s degree in CS/CE/IT/Cybersecurity

Tools

MCP (Model Context Protocol)

Python frameworks for LLMs

Job description

Job Summary

We are seeking a motivated Research Engineer to develop and evaluate AI-enabled cybersecurity solutions. Therole focuses on agentic AI, large language models (LLMs), and intelligent automation. The successful candidatewill have strong software and systems development skills in Linux environments, a solid cybersecurityfoundation, and practical experience using AI tools to accelerate research and engineering.

You will join an interdisciplinary team with expertise in threat analysis, network and systems security, machine learning, and agentic AI. Working closely with researchers and industry partners, you will help identify cybersecurity challenges, shape research projects, and translate research ideas into practical prototypes and solutions.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in the cybersecurity domain

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology,Cybersecurity, or a related discipline.
• Strong Python programming and systems development skills in Linux environments, with working knowledge of C/C++.
• Sound understanding of cybersecurity fundamentals, including network security, systems security, and vulnerability analysis.
• Experience building LLM applications using Python-based frameworks.
• Understanding of agentic AI concepts, including planning, tool use, retrieval-augmented generation, and workflow orchestration.
• Familiarity with agentic AI frameworks and tool-integration protocols, such as the Model Context Protocol (MCP).
• Practical ability to use AI tools to support cybersecurity analysis, automate repetitive tasks, and improve research productivity.
• Familiarity with AI coding assistants and vibe-coding workflows, together with the ability to review, debug, and validate AI-generated code.
• Ability to work independently and collaboratively, with curiosity, initiative, and a willingness to learn.
• Strong written and verbal communication skills, including the ability to explain technical findings clearly.
• Commitment to research integrity and responsible engineering practices.
• Nice to have: Hands-on experience in red teaming, penetration testing, adversary emulation, or offensive security research.
• Nice to have: Knowledge of reverse-engineering tools, such as IDA Pro or Ghidra, and an understanding of assembly language and compiled binaries.
• Nice to have: Experience assessing the security of LLM applications or agentic AI systems, including prompt injection, unsafe tool use, and data leakage.
• Nice to have: Experience developing and evaluating AI-enabled cybersecurity prototypes or research platforms.
• Nice to have: Experience integrating security tools into automated analysis workflows.
• Nice to have: Experience working with industry partners or translating research prototypes into operational applications.