Security Engineer - AI Red Teamer - Bangalore

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.

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