We are looking for an AI Red Teamer.

2 to 5 years of experience in AI/LLM security, adversarial testing, application security, or offensive security.

This role will focus on identifying, reproducing, and demonstrating security weaknesses in AI-powered applications, LLMs, agents, RAG systems, and AI-integrated platforms . The ideal candidate understands how modern AI systems can be abused and can think creatively about attack paths that go beyond traditional application security.

Responsibilities

- Perform adversarial security testing against LLMs, AI agents, RAG systems, APIs, and AI-enabled applications.
- Design and execute attacks covering the OWASP Top 10 for LLM Applications and MITRE ATLAS techniques.
- Test for prompt injection, indirect prompt injection, jailbreaks, sensitive information disclosure, excessive agency, insecure tool use, improper output handling, system prompt leakage, and authorization weaknesses.
- Identify attack chains involving AI agents, tools, plugins, MCP servers, APIs, external data sources, and third-party integrations.
- Evaluate AI systems for cross-user or cross-tenant data exposure and privilege-boundary violations.
- Assess RAG pipelines for poisoning, unauthorized retrieval, knowledge-base manipulation, and data leakage.
- Evaluate AI agents for unintended autonomous actions and abuse of available tools or permissions.
- Develop repeatable adversarial scenarios, proof-of-concepts, and security test cases.




- Work with engineering and security teams to reproduce findings and recommend practical mitigations.
- Document findings with explicit technical evidence, attack paths, business impact, and remediation guidance.
- Stay current with emerging AI attack techniques and evolving AI security frameworks.

Qualifications

- Up to 5 years of relevant experience in AI security, red teaming, penetration testing, application security, security research, or related offensive-security roles.
- Strong understanding of LLM and generative-AI architectures.
- Hands-on knowledge of the OWASP Top 10 for LLM Applications .
- Familiarity with MITRE ATLAS and adversarial AI techniques.
- Understanding of AI agents, RAG, embeddings/vector databases, APIs, tool calling, and modern agentic architectures.
- Strong knowledge of web and API security.
- Ability to automate testing using Python or similar scripting languages.
- Strong analytical mindset and ability to develop unconventional attack scenarios.
- Ability to clearly communicate technical findings.

Good to Have

- Experience researching or discovering new AI/LLM attack techniques.
- Experience testing MCP-based or agentic systems.
- Traditional penetration-testing or red-team background.
- Participation in AI security research, bug bounty programs, CTFs, or security conferences.
- Public security research, CVEs, tools, blog posts, or conference presentations.

Write to me @ [email protected]

📌 AI Security Researcher - LLM Red Teaming & Jailbreaking Specialist- Ground Floor Opportunity (Bangalore Urban)
🏢 CareerXperts Consulting
📍 Bangalore Urban