AI Red Team Engineer

4 days ago

Delhi NCR, India Codefeast Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role Overview:

Lead offensive security testing of an AI Agenta tool-augmented LLM that can browse, run code, access connectors (GDrive, Gmail, GitHub, etc.), and act on behalf of users. Target is to uncover high-risk model mistakes, prompt-injection pathways, and data-exfiltration vectors before adversaries do.

What does day-to-day look like:

  • Design & automate multi-turn attack chains spanning browser, terminal, and connector-API misuse.
  • Craft multi-turn conversations that co-opt Agent tools (browser, terminal, connectors) to cause high-impact mistakes (unauthorized purchases, data deletion).
  • Design prompt-injection & data-exfiltration scenarios: malicious webpages, poisoned Google Docs, cross-connector inference attacks.
  • Script repeatable tests in Python or bash inside the VM; build harnesses to replay payloads after mitigations.
  • Verify compliance with policy guardrails (PD5, FA2) and attempt policy-bypass exploits.

Requirements:

  • 3+ yrs hands-on offensive security or adversarial ML experience, including at least 1 yr on LLM or prompt-injection testing.
  • Deep fluency with both classic AppSec techniques (XSS, CSRF, SSRF) and LLM-specific issues (jailbreaks, hidden prompt channels).
  • Comfortable orchestrating attacks that chain browser automation, terminal commands, HTTP requests, and API calls.
  • Solid Python/bash; can prototype tooling inside a constrained VM.
  • Track record of clear vulnerability write-ups (CVE, HackerOne, or internal bug bounty).
  • Working knowledge of privacy & financial-risk policies (GDPR, SOC2, or comparable).

Nice-to-Have

  • Published research or conference talks on AI red-teaming (DEF CON, Black Hat, MLSecOps, etc.).
  • Familiarity with OpenAI policy taxonomy (PD1-PD5, FA1-FA3).
  • Certifications: OSCP, GXPN, or CCSK (cloud).

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