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AI Red Team Engineer - Russian(m/w/x)
Adversarial testing of AI systems, crafting prompts to bypass model guardrails for language accessibility. Deep understanding of Generative AI and cybersecurity principles essential. Focus on ethical hacking and adversarial testing, systematic documentation.
Requirements
- Deep understanding of Generative AI and main models
- Experience in cybersecurity principles and threat modeling
- Strong analytical skills for data analysis and NLP
- Commitment to ethical hacking and responsible disclosure
- Bachelor's or Master’s Degree in relevant fields
- Advanced English proficiency (C1) or above
- Adversarial thinking
- Knowledge of common model vulnerabilities
- Experience in AI/ML security and red teaming
- Willingness to learn new methods and adapt quickly
- Proficiency in scripting and automation
- Familiarity with AI red-teaming frameworks
- Experience in physical-world adversarial testing
- Experience with containerization and CI/CD security tools
- Proficiency in offensive exploitation and exploit development
- Skilled in reverse engineering using Ghidra or equivalents
- Expertise in network and application security
- Knowledge of operating system security concepts
- Familiarity with secure coding practices
Tasks
- Collaborate on adversarial testing projects for AI systems
- Craft prompts and scenarios to test model guardrails
- Explore creative methods to bypass restrictions
- Systematically document testing outcomes
- Think like an adversary to identify weaknesses
- Share findings with engineers and safety researchers
- Contribute to improving system defenses
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Bash
- PowerShell
- Ghidra
- Docker
- AI red-teaming frameworks
Not a perfect match?
- LILTPart-timeFreelanceWith HomeofficeExperiencedBerlin
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AI Red Team Engineer - Russian(m/w/x)
Adversarial testing of AI systems, crafting prompts to bypass model guardrails for language accessibility. Deep understanding of Generative AI and cybersecurity principles essential. Focus on ethical hacking and adversarial testing, systematic documentation.
Requirements
- Deep understanding of Generative AI and main models
- Experience in cybersecurity principles and threat modeling
- Strong analytical skills for data analysis and NLP
- Commitment to ethical hacking and responsible disclosure
- Bachelor's or Master’s Degree in relevant fields
- Advanced English proficiency (C1) or above
- Adversarial thinking
- Knowledge of common model vulnerabilities
- Experience in AI/ML security and red teaming
- Willingness to learn new methods and adapt quickly
- Proficiency in scripting and automation
- Familiarity with AI red-teaming frameworks
- Experience in physical-world adversarial testing
- Experience with containerization and CI/CD security tools
- Proficiency in offensive exploitation and exploit development
- Skilled in reverse engineering using Ghidra or equivalents
- Expertise in network and application security
- Knowledge of operating system security concepts
- Familiarity with secure coding practices
Tasks
- Collaborate on adversarial testing projects for AI systems
- Craft prompts and scenarios to test model guardrails
- Explore creative methods to bypass restrictions
- Systematically document testing outcomes
- Think like an adversary to identify weaknesses
- Share findings with engineers and safety researchers
- Contribute to improving system defenses
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Bash
- PowerShell
- Ghidra
- Docker
- AI red-teaming frameworks
About the Company
LILT
Industry
IT
Description
The company uses AI and machine translation to make information accessible across languages, ensuring quality and efficiency.
Not a perfect match?
- LILT
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