AI Security & LLM Engineer

AnaVationReston, VA

About The Position

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous cybersecurity practices. You will build resilient multi-agent systems while actively defending against emerging vulnerabilities like prompt injection, data exfiltration, and model manipulation.

Requirements

  • Active TS/SCI Clearance with CI Polygraph
  • Bachelor’s degree and 8 years of experience related to specific functional area.
  • Active certifications for both IAT Level II (e.g. CompTIA Security+) and Cyber Security Service Provider (CSSP) Infrastructure Support (e.g. CompTIA Cloud+) by program onboarding date.
  • The following individual certifications cover both certification requirements for this program: CompTIA Cybersecurity Analyst, CySA+; EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified Practitioner (SCCP).
  • Hands-on experience and knowledge with AI Architecture: Proven experience with multi-agent orchestration tools and production-grade RAG pipelines.
  • Hands-on experience and knowledge with AI Security: Deep understanding of OWASP Top 10 for LLMs, prompt injection defense, and guardrail frameworks.
  • Hands-on experience and knowledge with Infrastructure Management: Experience handling token optimization, context window constraints, and API throttling.
  • Rust or Python (at least one required)

Nice To Haves

  • Hands-on experience deploying commercial frontier models (e.g., ChatGPT, Grok, Claude).
  • Experience utilizing advanced AI-assisted development workflows such as Claude Code or Codex.
  • Background in traditional penetration testing, vulnerability assessment, or cryptographic concepts.

Responsibilities

  • Design and deploy robust multi-agent orchestration frameworks and Retrieval-Augmented Generation (RAG) pipelines.
  • Develop, implement, and maintain advanced input/output guardrails to neutralize prompt injection and adversarial attacks.
  • Conduct continuous LLM red teaming and simulations to identify system vulnerabilities and structural weaknesses.
  • Manage token usage, reduce latency, and engineer efficient API rate limit management strategies.
  • Write clean, secure, and production-grade code to integrate frontier models into enterprise applications.

Benefits

  • Generous cost sharing for medical insurance for the employee and dependents
  • 100% company paid dental insurance for employees and dependents
  • 100% company paid long-term and short-term disability insurance
  • 100% company paid vision insurance for employees and dependents
  • 401k plan with generous match and 100% immediate vesting
  • Competitive Pay
  • Generous paid leave and holiday package
  • Tuition and training reimbursement
  • Life and AD&D Insurance
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