Job title: 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