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 using Terraform, Pulumi, ClawdBot, or Devpod.

Relentless Autodidact: You don't wait for a training manual. You have a proven track record of teaching yourself new technologies and turning ideas into working projects.
Polyglot Engineer: Strong foundation in Python or Go. You are eager to learn complex APIs, custom integrations, and low/no-code platforms to bridge gaps.
Cloud Native Passion: Demonstrated interest in AWS (Primary), with eagerness to learn Azure/GCP. Specifically passionate about serverless architectures, Kubernetes, and automated provisioning.
AI Pragmatist: You understand the difference between AI hype and high-utility automation. You have a passion for AI/ML frameworks (LangChain, CrewAI, AutoGen, OpenAI SDK) and implementing secure AI usage policies.
MacOS & Device Engineering: Interest in macOS device management (MDM) and open-source software like Munki.

Elite Talent: Work alongside the top 1% of the industry—composed exclusively of high performers who raise the bar.
Our DNA: We are defined by action, grit, and uncompromising transparency. We move fast, take on hard problems, and choose clarity over comfort—because that’s how meaningful work gets done.
Impact: Your work directly protects the world's most critical organizations.

AI Operations Engineer

Key skills