Description of Task to be Performed: The
AI Security & LLM Engineer willdesign, 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.
Core Responsibilities:
- System Architecture: Design and deploy robust multi-agent orchestration frameworks and Retrieval-Augmented Generation (RAG) pipelines.
- Adversarial Defense: Develop, implement, and maintain advanced input/output guardrails to neutralize prompt injection and adversarial attacks.
- Red Teaming: Conduct continuous LLM red teaming and simulations to identify system vulnerabilities and structural weaknesses.
- Performance Optimization: Manage token usage, reduce latency, and engineer efficient API rate limit management strategies.
- Secure Development: Write clean, secure, and production-grade code to integrate frontier models into enterprise applications.
Primary Languages & Technical Stack- Rust or Python (at least one required)
Required Qualifications:- Clearance: Active TS/SCI Clearance with CI Polygraph
- Education & Years of Experience: Bachelor's degree and 8 years of experience related to specific functional area.
- Certifications: 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 the following:
- AI Architecture: Proven experience with multi-agent orchestration tools and production-grade RAG pipelines.
- AI Security: Deep understanding of OWASP Top 10 for LLMs, prompt injection defense, and guardrail frameworks.
- Infrastructure Management: Experience handling token optimization, context window constraints, and API throttling.
Preferred Qualifications:- Frontier Model Expertise: Hands-on experience deploying commercial frontier models (e.g., ChatGPT, Grok, Claude).
- AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude Code or Codex.
- Security Testing: Background in traditional penetration testing, vulnerability assessment, or cryptographic concepts.
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
