Security Engineer; AI Platform Engineering

Mandated Obligations

Mandated Obligations must not be omitted.

• Ability to obtain and maintain a U.S. security clearance.
• Immense kindness and patience for supporting and teaching non-technical users.
• Enough software and security foundation to build and secure production systems, with sound judgment on data handling and safe AI usage.
• Working knowledge of the strengths and weaknesses of different AI models and platforms, and how to match the right model to a task.
• Genuine AI power user who has shipped agents, tools, or automations with LLMs, and can walk through the hard parts.
• Fluency with modern agent concepts: agentic loops, agent harnesses, context engineering, tool usage / function calling, MCP, and evaluation loops.
• Self‑taught background acceptable; degrees or certifications in AI not mandatory.
• Experience building real backends and infrastructure—APIs, data pipelines, authentication and secrets, hosting and deployment (containers, Infrastructure‑as‑Code, CI/CD), systems integration, observability, evaluation, and graceful failure handling.
• Experience with AI governance, data‑loss‑prevention (DLP), monitoring and logging, or guardrails for AI usage.
• Experience building and hosting AI solutions in the cloud.
• Security background (application, cloud, or data protection).
• Experience teaching, enabling, or supporting non‑technical teams.