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.