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
✅ Robust 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 [email protected]

📌 Security Engineer (Bengaluru)
🏢 CareerXperts Consulting
📍 Bengaluru