AI Security Engineer

BJAK

WorldwideFully remoteFull TimeMid Level, SeniorInformation Technology
Posted 7h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 7 hours ago · apply link checked 3 hours ago

About the role

Responsibilities

  • Secure AI-enabled products and agent workflows using third-party models
  • Assess customer data sent to third-party model vendors, focusing on minimization, retention, and logging
  • Design controls for AI agent permissions and system access using least privilege
  • Implement tenant and user data isolation across prompts, conversation history, and retrieval
  • Threat model and test for prompt injection and indirect injection via untrusted inputs
  • Partner with Product and Engineering on safe document ingestion and output validation
  • Support SC TRM and BNM RMiT for AI technology risks and third-party oversight
  • Build security tests, monitoring, and response procedures for AI misuse and data exposure

Requirements

  • Degree in Computer Science, Cybersecurity, AI, or related field, or equivalent experience
  • 3+ years in application security, product security, security engineering, or AI system security
  • Experience implementing SC TRM and BNM RMiT controls or regulatory control evidence
  • Understanding of third-party LLM integrations, model APIs, agent tools, and RAG architectures
  • Knowledge of prompt injection, cross-user data leakage, and vendor data disclosure risks
  • Programming skills in Python and TypeScript/Node.js, plus experience with APIs and AWS or GCP
  • Ability to collaborate with Product, Legal, Compliance, and Engineering teams

About the Company

BJAK is a leading insurance platform in Southeast Asia, expanding into spending, saving, investing, and traveling to help people get more from their money every day.

What we look for

  • Degree in Computer Science, Cybersecurity, AI, or related field
  • Experience with SC TRM and BNM RMiT controls
  • Understanding of LLM integrations, model APIs, and RAG
  • Knowledge of prompt injection and data leakage risks
  • Proficiency in Python and TypeScript/Node.js
  • Experience with AWS or GCP
PythonAWSTypeScriptNode.jsGCPLLMRAG
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