OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity Our Security Engineering team is building AI-driven security infrastructure to protect OKX's LLM applications and developer pipelines at scale. This role sits at the intersection of agentic AI and security engineering — designing multi-agent systems, building detection engines, and embedding security into our development lifecycle. If you're passionate about solving real-world AI security challenges in a fast-moving environment, we'd love to hear from you. What You’ll Be Doing
Design and ship a Multi-Agent code auditing system (vulnerability detection, malicious code, sensitive data leakage) including role decomposition, tool-calling pipelines, and cross-agent state synchronization Integrate RAG, Chain-of-Thought, and Reflection techniques into security audit agents; build evaluation frameworks to continuously improve detection accuracy Develop CI/CD plugins for GitLab, Tekton, and Jenkins to enable automated security audit on every commit Build an LLM security framework covering input, output and runtime Design Human-in-the-loop and agent behavior audit systems ensuring production agents are observable, traceable, and controllable
What We Look For In You
3+ years of backend development in Python, Go, or Java End-to-end LLM Agent production experience with depth in architecture design, hallucination handling, and tool-call fault tolerance Hands-on AI security knowledge — Prompt Injection, Jailbreak, malicious agent injection, tool misuse — with production-ready defensive solutions Production experience with at least one of LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph Proficiency with Docker, Kubernetes, and microservice architecture
Nice to Haves
SAST/SCA or code auditing tool experience LLM fine-tuning or local model deployment; security-domain fine-tuning is a strong plus Open source agent projects on GitHub or merged PRs to mainstream LLM frameworks CTF awards or CVE/CNVD submission records
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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