AI Security & LLM Engineer

Description of Task to be Performed:

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.

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:

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.