AI Security Engineer (AI)

Location: Remote, China; address in Beijing, China

Company

A financial technology company operating a mobile-first insurance platform and expanding into spending, saving, investing, exchanging, and travel services across Southeast Asia.

What you will do

• Assess customer data shared with third-party model vendors, including minimization, retention, logging, vendor controls, and approved use.
• Design least-privilege controls for AI agent permissions, tools, actions, and system access.
• Implement and test tenant and user data isolation across prompts, conversation history, retrieval, memory, and connected services.
• Threat model and test direct and indirect prompt injection through uploaded documents, retrieved content, links, and other untrusted inputs.
• Partner with Product, Legal, Compliance, Data, and Engineering on document ingestion, content handling, output validation, and sensitive-action approvals.
• Build security tests, monitoring, and incident response procedures for AI misuse, data exposure, unauthorized actions, and vendor incidents.

Requirements

• Degree in Computer Science, Cybersecurity, AI, or a related field, or equivalent experience.
• At least 3 years of experience in application security, product security, security engineering, or AI system security.
• Experience implementing or owning SC TRM and BNM RMiT controls, technology risk processes, or regulatory control evidence.
• Understanding of third-party LLM integrations, model APIs, agent tools, RAG, and AI application architectures.
• Knowledge of prompt injection, indirect injection, cross-user data leakage, excessive agent permissions, and vendor data disclosure risks.
• Programming or scripting skills, preferably Python and TypeScript/Node.js, plus API and AWS or GCP experience. Strong English communication is required.

Culture & Benefits

• Remote work arrangement in China.
• Global teams spanning more than 20 nationalities and working from offices and remotely.
• English is the main working language across global teams.
• Opportunity to build next-generation financial products and AI-enabled services.