AI Engineer – AI Safety and Cybersecurity

RED ALPHA CYBERSECURITY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RED ALPHA CYBERSECURITY PTE. LTD. is seeking an experienced AI Engineer in Singapore to work on Agentic AI, AI safety, cybersecurity, vulnerability detection, and malware analysis.

You will design, develop, evaluate, and implement AI-powered applications and agentic AI solutions for analyzing software and assessing model safety. You will work with C/C++ code and large open-source projects on Linux, integrate AI analytics with static analysis tools, and develop automation scripts for evaluation,

Qualifications

• Degree in Computer Science, AI, or related field.
• 5+ years of software engineering/AI engineering experience.
• Hands-on Python development for end-to-end apps.
• Experience with LLMs, agentic AI, and prompt engineering.
• Knowledge of cybersecurity concepts.

Responsibilities

• Design, develop, and implement AI-powered applications and Agentic AI solutions.
• Develop AI-assisted tools for code analysis, vulnerability detection, malware analysis.
• Evaluate safety and robustness of AI models and multimodal inputs.
• Collaborate with researchers and engineers, document results and workflows.
• Support deployment and integration of solutions.

Skills

Python programming

LLMs & Agentic AI

AI safety

Cybersecurity concepts

Software engineering

Linux

Git

API design

Education

Bachelor's degree in Computer Science / AI

Tools

LLM APIs

Agentic AI frameworks

RAG

Git

Linux

Job description

We are looking for an experiencedAI Engineerto join our team and work on projects involving Agentic AI, AI safety, cybersecurity, vulnerability detection, and malware analysis.

The successful candidate will be involved in the design, development, evaluation, and implementation of AI-powered applications and agentic AI solutions for analysing software, detecting potential security vulnerabilities and malicious behaviours, and evaluating the safety and robustness of AI models.

Key Responsibilities

• Design, develop, and implement AI-powered applications and Agentic AI solutions for real-world use cases.
• Develop and enhance AI/LLM-based agentsfor software analysis, vulnerability detection, malware detection, and AI safety evaluation.
• Design agentic workflows where AI agents can plan tasks, retrieve relevant context, use tools, reason over results, and generate structured outputs.
• Develop AI-assisted solutions to analyse source code andidentifypotential software vulnerabilities and security issues.
• Work with C/C++ source code, including large open-source software projects and Linux-based systems, for vulnerability analysis.
• Integrate AI-based analysis with static analysis and other software security tools.
• Analyse software packages and source code toidentifypotentially malicious or suspicious behaviours.
• Support malware analysis of open-source software packages, including packages from ecosystems such asnpmandPyPI.
• Develop or enhance capabilities for detecting behaviours such as credential theft, data exfiltration, malicious downloads, remote payload execution, backdoors, and obfuscated code.
• Support the evaluation ofmultimodal AI models, including image-text inputs, model responses, AI safety risks, attack methods, defence methods, and evaluation scores.
• Prepare, process, and organise datasets and experimental results for AI model evaluation.
• Develop scripts and tools to automate AI evaluation, security analysis, testing, and reporting.
• Evaluate system performance using relevant AI, security, and system performance metrics.
• Document experimental results, technical findings, system configurations, limitations, and implementation approaches.
• Work closely with researchers, engineers, and project stakeholders to test,validate, and improve AI-based solutions.
• Support deployment, integration, testing, documentation, and handover of developed solutions.

Technical Requirements

• Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Cybersecurity, or a related discipline.
• Minimum 5 years of relevant experience in software engineering, AI/ML engineering, application development, or a related technical field.
• Hands-on experience developing and implementing software applications and/or Agentic AI applications in a production or real-world environment.
• Strong programming skills in Python and experience developing end-to-end applications or AI solutions.
• Hands-on knowledge of Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI, or Agentic AI.
• Experience working with LLM APIs, AI agents, prompt engineering, tool/function calling, RAG, or agentic AI frameworks.
• Strong understanding of software development fundamentals, including APIs, debugging, testing, version control, and working with source code repositories.
• Familiarity with Git and Linux environments.
• Understanding of cybersecurity concepts, software vulnerabilities, malware, or secure software development.
• Ability to analyse complex technical problems, conduct experiments, and document findings clearly.