AI Security Researcher - LLM Red Teaming & Jailbreaking Specialist- Ground Floor Opportunity

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 clear 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 @ [Confidential Information]