Rock Bund Capital
cryptocurrency
AISecurityEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Security Engineer at Rock Bund Capital. Skills: AI Security, LLM Security, Penetration Testing, Automated Security Tooling. Lead security reviews. threat modeling”
Industry & Context.
What They're Looking For.
Must Have
Minimum of 3 years of experience in security development or penetration testing, at least 1 year dedicated to LLM/AI security offense and defense, Proficient in at least one programming language (e.g., Python, Go, C++), Capable of building custom security tools from scratch or heavily customizing/extending open-source security platforms
Nice to Have
Proven Red Teaming or real-world adversarial experience, Prior experience in Web3 security and defense, Proven track record in elite Red Teaming, or top-tier performance in major CTF/Cybersecurity competitions, Experience discovering and reporting high-severity vulnerabilities (e.g., CNVD/CNNVD, CVEs), record of publishing Web/AI security papers in top-tier conferences/journals, filed patents, Familiarity with mainstream AI frameworks and orchestration tools (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex), hands-on experience in local LLM deployment and optimization
What You'll Do.
Lead security reviews
penetration testing for AI Agents
Design defense mechanisms
implement defense mechanisms
Design automated security detection tools
develop AI-powered automated security detection tools
Participate in building Agent behavior auditing
anomaly detection systems
Help construct AI-driven Security Operations platform
automate alert triage
incident response strategy generation
Co-design security guardrails
implement Agent security guardrails
Track cutting-edge security threats
research cutting-edge security threats
Explore defense solutions
design defense solutions
deploy defense solutions
How You'll Work.
Team & Collaboration
collaboration skills
Communication Scope
Exceptional communication
Process & Methodology
project management skills
Full Job Description
Who We Are Founded in 2019, Rock Bund Capital is a proprietary trading firm deeply committed to shaping the future of the cryptocurrency industry. We have an average daily trading volume reaching $1 billion and peak daily trading volume of $9 billion USD. We process over 15 million transactions daily, trading more than 1,000 symbols across major CEx and DEx. Our team combines expertise in traditional finance, quantitative research, and advanced engineering with a deep understanding of blockchain technology. This unique blend enables us to excel in trading across complex crypto markets, including both CeFi and DeFi, while providing capital and strategic guidance to projects that drive innovation and foster sustainable growth in the crypto industry. What You Will Do Requirements Review & Security Design: Lead security reviews, threat modeling, and penetration testing for AI Agents. Design and implement defense mechanisms against emerging threats, including tool abuse, context contamination, data poisoning, and prompt injection. Automated Security Tooling: Design and develop AI-powered automated security detection tools. Utilize Machine Learning (ML) and Deep Learning (DL) techniques to enhance threat detection, anomalous behavior analysis, and vulnerability discovery efficiency. Security Operations & Auditing: Participate in building Agent behavior auditing and anomaly detection systems to identify runtime malicious behavior chains. Help construct an AI-driven Security Operations platform to automate alert triage, attack attribution, and incident response strategy generation. Security Guardrails Implementation: Co-design and implement Agent security guardrails, including input filtering, output sanitization, tool call permission controls, and sandbox isolation. Frontier Research & Adversarial Defense: Track and research cutting-edge security threats in the AI/Agent ecosystem (e.g., prompt injection, tool abuse, privilege escalation, data exfiltration, supply chain att
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