Quick Summary
System Architecture: Design and deploy robust multi-agent orchestration frameworks and Retrieval-Augmented Generation (RAG) pipelines. Adversarial Defense: Develop, implement,
CompTIA Cybersecurity Analyst, CySA+; EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified Practitioner (SCCP).
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.
Responsibilities
~2 min read- →Rust or Python (at least one required)
- →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.
- → 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
Location & Eligibility
Listing Details
- Posted
- July 24, 2026
- First seen
- July 24, 2026
- Last seen
- September 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- July 24, 2026
Signal breakdown
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