[Remote] AI Code Vulnerability Mining Engineer

Note: The job is a remote job and is open to candidates in USA. Confidential company is focused on developing AI-driven systems for vulnerability discovery and security analysis. The AI Code Vulnerability Mining Engineer will be responsible for building AI-assisted systems, developing workflows that integrate LLMs with security tools, and collaborating with security researchers to enhance detection accuracy.ResponsibilitiesBuild AI-assisted systems for code vulnerability detection and security analysisDevelop workflows that combine LLMs with security tooling such as static analysis, fuzzing, and runtime tracingImprove AI reasoning over large repositories, complex execution flows, and security-critical code pathsBuild internal tools for automated vulnerability mining, exploit validation, and security investigationCollaborate with security researchers and engineering teams to improve detection accuracy and reduce false positivesResearch practical applications of AI agents in offensive security and secure code review workflowsSkillsStrong software engineering skills with proficiency in Go, Java, Python, or similar programming languagesFamiliarity with SDL practices, code review processes, and common OWASP Top 10 security risksFamiliarity with security tools such as Semgrep, CodeQL, SonarQube, Snyk, or similar platformsStrong analytical and problem-solving skills with a strong interest in AI-driven code security researchBasic understanding of cryptographic algorithms and concepts, including ECDSA, EdDSA, and related encryption/signature mechanismsExperience building AI teams, RAG systems, AI skills, or tool-calling workflows is a plusExperience in Web3 security research, contributions to Bug Bounty platforms, or 0day vulnerability discovery is preferredCompany OverviewThis page is owned and operated by Viral Audience. It was founded in undefined, and is headquartered in Silicon Valley, California US, US, with a workforce of 51-200 employees. Its website is .