AI Code Vulnerability Mining Engineer

About the Role This role focuses on building AI-driven systems to automate and improve vulnerability discovery and security analysis across large-scale codebases. Key Responsibilities Build AI-assisted systems for code vulnerability detection and security analysis. Develop workflows that combine LLMs with security tooling such as static analysis, fuzzing, and runtime tracing Improve AI reasoning over large repositories, complex execution flows, and security-critical code paths. Build internal tools for automated vulnerability mining, exploit validation, and security investigation. Collaborate with security researchers and engineering teams to improve detection accuracy and reduce false positives. Research practical applications of AI agents in offensive security and secure code review workflows. Major Requirements Strong software engineering skills with proficiency in Go, Java, Python, or similar programming languages. Familiarity with SDL practices, code review processes, and common OWASP Top 10 security risks. Familiarity with security tools such as Semgrep, CodeQL, SonarQube, Snyk, or similar platforms. Strong analytical and problem-solving skills with a strong interest in AI-driven code security research. Basic understanding of cryptographic algorithms and concepts, including ECDSA, EdDSA, and related encryption/signature mechanisms. Experience building AI teams, RAG systems, AI skills, or tool-calling workflows is a plus. Experience in Web3 security research, contributions to Bug Bounty platforms, or 0day vulnerability discovery is preferred.