Live opening · Posted 1 day ago
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About the role
Description supplied by the original job listing.
We're looking for an AI Red Teamer to find, reproduce, and demonstrate security weaknesses in LLMs, AI agents, RAG systems, and AI-integrated platforms. You'll think creatively about attack paths that go well beyond traditional application security.
What You'll Own:
🔹 Adversarial testing of LLMs, agents, RAG pipelines, APIs, and AI-enabled apps
🔹 Attacks mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS
🔹 Prompt injection (direct and indirect), jailbreaks, data leakage, excessive agency, insecure tool use
🔹 Attack chains across agents, plugins, MCP servers, and third-party integrations
🔹 Cross-tenant data exposure, RAG poisoning, and privilege-boundary violations
🔹 Repeatable PoCs and test cases, with clear findings and remediation guidance
What you bring:
✅ Up to 5 years in AI security, red teaming, pentesting, AppSec, or security research
✅ Strong grasp of LLM/GenAI architectures, agents, RAG, vector DBs, and tool calling
✅ Hands-on knowledge of OWASP LLM Top 10 and familiarity with MITRE ATLAS
✅ Strong web and API security skills
✅ Python (or similar) for automating tests
✅ Ability to build unconventional attack scenarios and communicate findings clearly
Bonus: original AI/LLM attack research, MCP/agentic testing, bug bounty, CTFs, CVEs, conference talks or public research.
If you enjoy breaking AI systems in ways their builders never imagined, let's talk.
Write to rukmini@careerxperts.com
Work arrangement
Hybrid
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