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описание
The project enhances software security testing across the client's product ecosystem to protect customer data. It develops AI-driven agentic workflows for identifying and mitigating software vulnerabilities.
задачи
Build multi-agent systems, tool-use frameworks, and orchestration layers for autonomous security testing workflows;
Develop large-scale security testing frameworks and evaluation pipelines;
Perform LLM fine-tuning with LoRA, QLoRA, or similar techniques for security domains;
Generate and manage large-scale datasets for automated security testing;
Conduct security testing to identify risks and vulnerabilities in software applications;
Provide guidance and share best practices on AI-driven secure testing methodologies with the internal security team;
Track the latest AI-specific security vulnerabilities and threats and recommend mitigation strategies;
Contribute to the development, standardization, and scaling of automated security testing methodologies.
требования
5+ Years of experience as an AI/ML Solution Engineer or Security Engineer;
Proficiency in Python and Rust;
Proficiency in Claude Code, Codex, and Cursor;
Background in Vulnerability Management;
English proficiency at B2 level or higher;
Nice to have: Knowledge of Security Testing Methodologies, familiarity with Security Testing Tools.
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