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# Application Security Engineer - AI/ML & LLM Security

- **Company:** Sidram Technologies
- **Location:** Princeton, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Frameworks, Cyber Security, Python (Programming Language), Machine Learning, Open Source Technology, Open Web Application Security, Systems Development Life Cycle, Software Engineering, Software Vulnerability Management, Large Language Models, Claude Code, Software Security, Generative AI, Cross-Site Scripting (XSS), Agentic-AI, GWAPT, Production Code, Virtual Agents, Security Orchestration, Automation & Response
- **Published:** November 6, 2026
- **Apply:** https://www.juju.com/job/28_25303_49ea3bb1857abd04832b98da93cdfb9c

## About the Role

We are looking for a Senior Application Security Engineer with a strong software engineering background and hands-on experience in Python automation, AI/ML, LLMs, AI agents, and application security. The ideal candidate is not security-adjacent you have built and shipped production code, developed security tooling, automated security workflows, and understand how modern AI/LLM applications introduce new security risks., 12+ years of overall professional experience in Software Engineering and Application Security, with substantial hands-on development experience.

Strong hands-on Python development and automation experience for building security tools, workflows, scripts, and reusable frameworks.

Strong experience with Application Security / Product Security / Software Security Engineering.

Hands-on experience with Claude Code, including its extensibility capabilities such as:

 * Skills
 * Subagents
 * Hooks
 * Slash commands
 * MCP integrations

Experience using Claude Code or comparable AI coding/agent platforms to develop reusable security workflows and automation.

Strong understanding of AI/ML, LLMs, Generative AI, and AI agents.

Working knowledge of agentic frameworks and architectures and emerging security risks associated with AI agents.

Understanding of OWASP LLM Top 10, including prompt injection, insecure output handling, model-related risks, and sensitive information disclosure.

Understanding of AI agent security, including tool permissions, excessive agency, agent-to-agent interactions, prompt injection, and authorization boundaries.

Understanding of AI/LLM supply-chain security, including model, library, dependency, tool, and MCP-related risks.

Strong experience with Secure SDLC, threat modeling, security architecture, vulnerability management, and application security testing.

Strong Knowledge Of Common Vulnerability Classes, Including

 * OWASP Top 10
 * API Security
 * Authentication & Authorization
 * Injection
 * SSRF
 * XSS
 * Access Control
 * Dependency/Supply Chain Vulnerabilities

Ability to determine what should be automated, what requires escalation, and what can be directly remediated.

Nice to Have

Experience securing production LLM, GenAI, or agentic applications.

Experience building internal AI/LLM security tooling or security automation platforms.

Experience with MCP security and AI agent tool integrations.

Experience with AI/ML security frameworks and emerging AI security best practices.

Contributions to open-source security tools or projects.

Relevant certifications such as OSCP, GWAPT, CSSLP, or equivalent preferred but not required., Software Engineering + Application Security + Python Automation + AI/ML/LLM + AI Agent Security. Candidates should have 12+ years of overall experience and demonstrate strong hands-on engineering capabilities rather than purely governance, compliance, audit, or security-management experience., * Total Years of Experience

 * Relevant Application Security Experience
 * AI/ML/LLM Experience
 * Python Automation Experience
 * Claude Code / AI Agent / MCP Experience