Praetorian

Artificial Intelligence

• You will lead the deployment of our Generative AI infrastructure, moving beyond "support tickets" toward self-service automation and agentic resolution.
• Learn routing and orchestration for frontier models (Claude/Claude Code, Gemini, OpenAI) and open-source/distilled models (DeepSeek, Qwen, Kimi) using tools like LiteLLM, AWS Bedrock, and n8n.
• Build retrieval-augmented generation (RAG) systems and agentic workflows that integrate with our internal knowledge base to streamline operations.
• Support the engineering team by integrating AI-driven CLIs and IDEs (Claude Code, Cursor, Codex) directly into the daily workflow.
• Treat the entire corporate and product environment as a codebase. You will contribute to the design, reliability, and security of these environments using Terraform, Pulumi, ClawdBot, or Devpod.
• Help build serverless, high-availability environments that scale.
• Act as the integration engineer for our core stack (Salesforce, HubSpot, Linear, Notion, Google Workspace, Pave). If it has an API, you will automate it.
• Wear a tin foil hat and partner with our internal Red Teams to implement Zero-Trust networking and secure build pipelines. You will learn why low-latency environments matter for cracking and why security must be woven into the fabric of the architecture.
• Help architect and automate the access management stack (Okta/Google Workspace/SSO). You will build the guardrails that allow rapid onboarding and access without sacrificing security.
• Support high-performance computing (HPC) and specialized networking environments specifically tailored for deep-tier penetration testing and adversarial simulations.
• You are accountable for the "last mile" of execution. You will write code, configure VPCs, and debug CI/CD pipelines alongside a small, elite team.
• You will contribute to creating a friction-free employee experience—minimizing human intervention for access, hardware provisioning, and compliance.
• Help ensure internal systems can handle massive data requirements and rapid growth without sacrificing performance.

AI Operations Engineer