
AI Security Engineer
BJAK
WorldwideFully remoteFull TimeMid Level, SeniorInformation Technology
Posted 7 hours ago7h agoApply link checked 3 hours 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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