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Application Security Engineer - AI/ML & LLM Security

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Onsite

Application Security Engineer - AI/ML & LLM Security

SIDRAM TECHNOLOGIES

Application Security Engineer - AI/ML & LLM Security

Skills

PythonMachine LearningAISupply ChainCompliance

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

3 September 2026

What they need


HIRING: Senior Application Security Engineer AI/ML & LLM Security Location: Princeton, NJ / New York City, NY Hybrid

Client: Altimetrik / S&P Global

Employment: Full-Time

Experience: 12+ Years Required

Work Authorization: USC / H-4 EAD Only

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.

Required Experience 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.

Ideal Candidate Profile

We Are Specifically Looking For Someone Who Combines 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. [email protected] Please Include The Following Information With Your Resume

  • Updated Resume
  • Total Years of Experience
  • Relevant Application Security Experience
  • AI/ML/LLM Experience
  • Python Automation Experience
  • Claude Code / AI Agent / MCP Experience
  • Current Location
  • Work Authorization
  • Availability / Notice Period
  • Phone Number
  • Email Address
  • LinkedIn Profile

Please share only candidates who closely match the hands-on software engineering, application security, Python automation, and AI/LLM requirements .

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