AI Cybersecurity Specialist

4 days ago


Singapore beBeeSoftware Full time $90,000 - $120,000
AI Software Engineer

We are seeking an experienced AI Software Engineer to design, develop, and deploy AI-powered applications that enhance cybersecurity operations. This role focuses on building agent-based systems with Large Language Models (LLMs), developing human-in-the-loop workflows, and integrating AI into security solutions to improve automation, detection, and response.

Key Responsibilities:
  • Design and build production-grade AI applications using LLMs and frameworks such as LangChain
  • Develop and maintain agent-based systems for security automation
  • Implement human-in-the-loop workflows for critical operations
  • Create and refine prompt engineering strategies for LLMs
Technical Implementation:
  • Build and optimize vector database solutions (e.g., Pinecone, FAISS)
  • Design prompt templates, chains, and evaluation frameworks
  • Implement systematic prompt testing, versioning, and management
  • Fine-tune prompts for security-specific use cases
System Architecture & Infrastructure:
  • Ensure scalability, performance, and reliability of AI applications
  • Maintain CI/CD pipelines for continuous delivery and integration
  • Implement robust monitoring, logging, and error-handling systems
Collaboration & Innovation:
  • Partner with security teams (SOC, Detection, Threat Hunting) to apply AI in real-world scenarios
  • Collaborate with infrastructure teams to support deployment and scaling
  • Share best practices in prompt engineering and AI system design
  • Document technical architectures, workflows, and prompt strategies
  • Contribute to research and innovation in AI for cybersecurity

Requirements:

  • 2–5 years of software engineering experience
  • Strong Python development skills
  • Hands-on experience with AI/ML frameworks
  • Proven track record building production-grade applications with LLMs

Skills:

  • Proficiency in Python and modern software development practices
  • Experience with LLMs and frameworks such as LangChain
  • Knowledge of agent-based systems and workflow orchestration
  • Expertise in API development and integration
  • Experience with vector databases (e.g., Pinecone, FAISS)
  • Strong understanding of CI/CD practices


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