automation qa
генерация резюме под вакансию
сопроводительное письмо
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.
условия
- No conditions specified
навыки
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