Experience
3 - 6 yrs
Job Location
Central Remote, Remote
Vacancy
1
Designation
Team Lead
Job Type
ONSITE
Job Description
The Role
Were looking for an AI Red Teamer who understands both sides of the fence: how AI systems can be attacked, and how to build agents that do the attacking. Youll red team our own AI systems, design adversarial test scenarios, and directly shape how our pentesting agent thinks and acts. This is not a traditional red team role. Youll work at the intersection of offensive security and AI - a space most people are still figuring out - Design and execute red team campaigns against AI/ML systems: prompt injection, jailbreaks, model extraction, adversarial inputs, training data poisoning - Build and maintain adversarial test suites for our AI pentesting agent - Simulate real-world attacker TTPs to stress-test agent decision-making and guardrails - Research emerging attack vectors against LLM-based systems and agentic pipelines - Collaborate with engineering to harden the AI agent against evasion and manipulation - Document findings with clear severity ratings, reproducible POCs, and remediation guidance - Contribute to Simbians red team playbooks and threat m
Requirements - 3-6 years in offensive security, red teaming, or penetration testing
- Hands-on experience with at least one of: LLM security, adversarial ML, or AI system testing
- Strong fundamentals in web app, API, and network pentesting (OWASP, MITRE ATT&CK)
- Scripting proficiency: Python required; familiarity with LangChain, LlamaIndex, or similar AI frameworks is a strong plus
- Working knowledge of prompt injection, jailbreaking techniques, and OWASP Top 10 for LLMs
- CEH, OSCP, or equivalent - preferred, not required
- Strong written communication: your POCs need to be readable by both engineers and executives
- Experience red teaming agentic AI systems or multi-agent pipelines
- Background in threat intelligence or APT simulation
- Contributions to bug bounty pro
No Referrers Available
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