AI Security & LLM Engineer — Adversarial Defense

Nava

Reston (VA)

On-site

USD 170,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Generous medical insurance
401k plan with generous match
Paid leave and holidays
Tuition reimbursement

Job summary

AnaVation is seeking an AI Security & LLM Engineer in Reston, VA to design, secure, and optimize next-generation generative AI infrastructure. You will bridge advanced AI capabilities with cybersecurity, building resilient multi-agent systems and defending against evolving threats.

You will implement robust architectures, guardrails, and production-grade code to deploy frontier models inside enterprise applications, while minimizing latency and token usage.

Qualifications

  • Bachelor’s degree in a related field.
  • 8+ years of relevant experience.
  • Active TS/SCI Clearance with CI Polygraph.
  • Certifications aligned with program requirements.

Responsibilities

  • Design and deploy multi-agent orchestration frameworks and RAG pipelines for generation.
  • Develop and maintain input/output guardrails to defend against prompt injection.
  • Conduct red teaming and simulations to identify vulnerabilities and weaknesses.
  • Optimize token usage, reduce latency, and manage API rate limiting.
  • Write secure, production-grade code to integrate frontier models into enterprise apps.

Skills

AI Architecture
AI Security
Infrastructure Management
Rust or Python

Education

Bachelor’s degree
8 years of related experience
Active TS/SCI Clearance with CI Polygraph

Tools

RAG pipelines

Job description

AnaVation is seeking an AI Security & LLM Engineer in Reston, VA to design, secure, and optimize next-generation generative AI infrastructure. You will bridge advanced AI capabilities with cybersecurity, building resilient multi-agent systems and defending against evolving threats.

You will implement robust architectures, guardrails, and production-grade code to deploy frontier models inside enterprise applications, while minimizing latency and token usage.

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