Praetorian

Lead AI Operations Engineer

Praetorian

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AWSAzureCloudGoGoogle Cloud PlatformKubernetesMacOSPythonTerraform

About the role

  • You will lead the deployment of our Generative AI infrastructure, moving beyond "support tickets" toward self-service automation and agentic resolution.
  • Manage 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.
  • Enable 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 own the design, reliability, and security of these environments using Terraform, Pulumi, ClawdBot, or Devpod.
  • 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.

Requirements

  • Relentless Autodidact: You don't wait for a training manual. You have a proven track record of pioneering new ideas and turning technical innovation into production-ready action.
  • Polyglot Engineer: Deeply proficient in Python or Go. You are comfortable navigating complex APIs, custom integrations, and low/no-code platforms to bridge gaps.
  • Cloud Native Mastery: Expert-level experience in AWS (Primary), with working knowledge of Azure/GCP. Specifically skilled in serverless architectures, Kubernetes, and automated provisioning.
  • AI Pragmatist: You understand the difference between AI hype and high-utility automation. You have experience with AI/ML frameworks (LangChain, CrewAI, AutoGen, OpenAI SDK) and implementing secure AI usage policies.
  • MacOS & Device Engineering: Deep experience with macOS device management (MDM) and open-source software like Munki.
Benefits
  • 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonGoAWSAzureGCPKubernetesTerraformPulumiLangChainOpenAI SDK
Soft Skills
relentless autodidactpioneering new ideasturning technical innovation into actionpolyglot engineerunderstanding AI utility