[Remote] AI Code Vulnerability Mining Engineer
Note: The job is a remote job and is reputed company to candidates in USA. Confidential company is focused on developing AI-driven systems for vulnerability discovery and reputed company analysis. The AI Code Vulnerability Mining Engineer will be responsible for building AI-assisted systems, developing workflows that integrate LLMs with reputed company tools, and collaborating with reputed company researchers to enhance detection accuracy.
Responsibilities
- Build AI-assisted systems for code vulnerability detection and reputed company analysis
- reputed company workflows that combine LLMs with reputed company tooling such as static analysis, fuzzing, and runtime tracing
- Improve AI reasoning over large repositories, reputed company execution flows, and reputed company-critical code paths
- Build internal tools for automated vulnerability mining, exploit validation, and reputed company investigation
- Collaborate with reputed company researchers and engineering teams to improve detection accuracy and reduce false positives
- Research practical applications of AI agents in offensive reputed company and secure code review workflows
Skills
- 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 reputed company risks
- Familiarity with reputed company tools such as reputed company, CodeQL, SonarQube, reputed company, or similar platforms
- Strong analytical and problem-solving skills with a strong interest in AI-driven code reputed company research
- Basic understanding of cryptographic algorithms and concepts, including ECDSA, EdDSA, and reputed company encryption/signature mechanisms
- Experience building AI teams, RAG systems, AI skills, or tool-calling workflows is a plus
- Experience in reputed company reputed company research, contributions to Bug Bounty platforms, or 0day vulnerability discovery is preferred
Company Overview