Full Stack AI Engineer (Government Projects)

Job Description

We are looking for an experienced Full Stack Developer to join our team in designing, developing, and maintaining large-scale AI and cybersecurity platforms.

• Opportunity to be a part of an innovative team driving digital transformation across the public sector.
• Attractive remuneration package
• Hybrid work arrangement.

Responsibilities:

• Design, develop, and maintain AI-powered cybersecurity platform capabilities, including agentic AI workflows and production-ready platform features.
• Build and enhance MCP integrations, APIs, and automation services connecting SIEM, SOAR, cloud AI services, data platforms, SOC tools, and SaaS applications.
• Develop AI solutions including RAG pipelines, AI chatbots, and LLM-based workflows to support threat hunting, detection engineering, security operations, and agency onboarding.
• Collaborate with SOC, Detection Development, and threat hunting teams to translate operational requirements into secure, scalable, and reliable AI capabilities.
• Maintain AI/LLM infrastructure across internet, intranet, and local environments, ensuring secure deployment, availability, performance, and operational resilience.
• Apply software engineering best practices by writing automated tests, participating in code reviews, documenting solutions, and monitoring AI workflow performance, reliability, and cost.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
• Min 5 years of experience in software development, AI application development, or cybersecurity/security engineering.
• Proven experience developing and maintaining production-grade software applications and codebases using modern software engineering practices.
• Hands-on experience building AI-powered solutions, such as LLM applications, AI agents, retrieval-augmented generation (RAG) systems, or equivalent AI technologies.
• Proficiency in software development methodologies, including version control, automated testing, code reviews, and CI/CD practices.
  

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Lee Wen Ying (Mattias) - R23112909

ScienTec Consulting Pte Ltd - 11C5781