Senior AI Security Engineer – LLM Vulnerability

Experience: 3+ Years

Job Type: Contractor

Location: Remote

Domain: GenAI Security | LLM Security | AppSec | Vulnerability Research | AI Agents

Role Overview

We are looking for experienced AI / GenAI Security Engineers to build and evaluate security tasks for LLM-powered applications, including agents and RAG systems.

The role involves creating vulnerable and patched applications, identifying security weaknesses, writing exploit tests, and validating security controls across AI application workflows.

Key Responsibilities

- Build or review GenAI, agent, and RAG applications.
- Create vulnerable and patched versions of applications.
- Identify and document security vulnerabilities and attack paths.
- Trace data and action flows across complex codebases.
- Review authentication,



authorization, trust boundaries, and tenant isolation.

Key Requirements

- 3+ years in Application Security, Product Security, Penetration Testing, Secure Code Review, or Vulnerability Research.
- Robust understanding of OWASP Top 10 for LLM Applications.
- Experience with LLM agents, tool calling, MCP, RAG, memory, and tracing.
- Familiarity with LangChain, LlamaIndex, OpenAI/Anthropic SDKs, or similar tools.
- Experience with CodeQL, Semgrep, SARIF, Docker, and Git.
- Ability to map vulnerabilities to relevant CWE classifications.

Selection Process

1. ICF
2. Profile Review
3. Final Selection & Onboarding

📌 Senior AI Security Engineer (India)
🏢 Codefeast
📍 India