AI Red Team Engineer / AI Security Specialist
New
J
JobgetherCybersecurity / AI
Fully remote opportunity open to candidates based in IndiaContractMiddle
Salary not disclosed
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Job Details
- Experience
- 4–10+ years
- Required Skills
- PythonGenerative AI
Requirements
- 4–10+ years of relevant professional experience in cybersecurity, application security, penetration testing, AI security, or a closely related discipline.
- Strong hands-on knowledge of LLM and Generative AI security, including AI red teaming and adversarial testing.
- Experience assessing prompt injection, jailbreaks, RAG architectures, agentic AI systems, and AI guardrails.
- Solid understanding of API security, penetration testing, cloud security, privacy, and access-control vulnerabilities.
- Practical programming and automation skills, particularly with Python.
- Familiarity with security frameworks and standards such as the OWASP LLM Top 10 and MITRE ATLAS.
- Ability to investigate complex AI security issues, think adversarially, and translate technical findings into clear remediation recommendations.
- Strong analytical, problem-solving, documentation, and communication skills.
- Comfortable working independently across complex technical environments and adapting to rapidly evolving AI security threats.
Responsibilities
- Conduct red-team assessments of LLMs, Retrieval-Augmented Generation (RAG) systems, AI agents, and other generative AI applications.
- Test AI systems for prompt injection, jailbreaks, guardrail bypasses, adversarial behavior, and other attack vectors.
- Identify vulnerabilities involving data leakage, privacy exposure, authentication, authorization, and access controls.
- Assess AI agents, APIs, and enterprise integrations for unintended or unauthorized actions.
- Perform hallucination, adversarial robustness, and AI-specific security testing across enterprise AI solutions.
- Develop and automate repeatable AI security testing methodologies and workflows.
- Document vulnerabilities clearly, assess their potential impact, and support remediation efforts.
- Apply established AI security frameworks and best practices to strengthen the resilience of AI-enabled systems.
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