Research Engineer, Cybersecurity, IAIC

Job Summary

We are seeking a motivated Research Engineer to develop and evaluate AI-enabled cybersecurity solutions. The role focuses on agentic AI, large language models (LLMs), and intelligent automation. The successful candidate will have strong software and systems development skills in Linux environments, a solid cybersecurity foundation, 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.