AI Security Engineer (Web3)

TL;DR

AI Security Engineer (Web3): Building and implementing security guardrails and automated detection systems for AI agents with an accent on adversarial defense and threat modeling. Focus on mitigating prompt injection, data poisoning, and tool abuse within a high-frequency crypto trading environment.

Location: Shanghai (Onsite)

Company

hirify.global is a proprietary trading firm specializing in cryptocurrency markets, processing billions in daily volume through advanced quantitative research and blockchain engineering.

What you will do

• Lead security reviews, threat modeling, and penetration testing for AI agents.
• Design and develop AI-powered automated security detection tools using ML/DL techniques.
• Build agent behavior auditing and anomaly detection systems to identify malicious runtime activities.
• Implement security guardrails including input filtering, output sanitization, and sandbox isolation.
• Research cutting-edge AI security threats and deploy robust defense solutions for production environments.

Requirements

• Minimum 3 years of experience in security development or penetration testing.
• At least 1 year of dedicated experience in LLM/AI security offense and defense.
• Deep familiarity with OWASP Top 10 for LLM and MITRE ATT&CK frameworks.
• Proficiency in at least one programming language such as Python, Go, or C++.
• Strong understanding of the AI product lifecycle and cloud-native threat detection.

Nice to have

• Proven track record in elite Red Teaming or top-tier performance in cybersecurity competitions.
• Experience discovering and reporting high-severity vulnerabilities (CVEs).
• Hands-on experience with AI frameworks like PyTorch, TensorFlow, LangChain, or LlamaIndex.
• Prior experience in Web3 security and defense.

Culture & Benefits

• Competitive remuneration package with a meritocratic reward structure.
• Fast-paced, result-oriented environment with a flat organizational structure.
• Casual working atmosphere with high-level collaboration.
• Exposure to the digital asset ecosystem and advanced market insights.
• Opportunities for professional growth and career development.