Job Description
Join Expedient's AI CTRL product team as our AI DevOps Engineer — a senior, hands-on engineer who will build the framework that manages, configures and ships agentic workflows, tooling applications, and AI integrations to clients quickly, safely, and repeatably. You'll own the path from commit to production: Git-driven CI/CD, infrastructure as code, release and config management, observability, and the LLMOps practices that keep model-powered systems reliable and cost-efficient. This is a build role — you won't be maintaining someone else's pipelines, you'll be creating the framework the AI Dev team builds on.
Because AI CTRL runs on enterprise model APIs (Anthropic Claude, OpenAI, Google Gemini) with RAG and MCP integrations rather than training custom models, this role is LLMOps-focused: prompts, configs, and integrations are the primary code surface, and the operational challenges are deployment velocity, traceability, cost, and risk at scale.
What You'll Do:
Because AI CTRL runs on enterprise model APIs (Anthropic Claude, OpenAI, Google Gemini) with RAG and MCP integrations rather than training custom models, this role is LLMOps-focused: prompts, configs, and integrations are the primary code surface, and the operational challenges are deployment velocity, traceability, cost, and risk at scale.
What You'll Do: