AI Engineer, LLM Systems & Agentic Workflows

As an AI Engineer focused on LLM Systems, your primary mandate is to design, build, and operate the AI layer that powers intelligent automation across the CommandLink platform. You'll be working at the engineering layer of agentic AI: building durable, production‑grade LLM workflows on top of Temporal, implementing security and policy controls around LLM execution, and solving hard problems around prompt injection, output trust, and runtime governance in domain‑specific contexts.

You’ll work closely with Engineering and Product leads to build agentic workflows to execute deterministic workflows for context aware insights, triage, investigations and remediation into reliable, observable, and policy‑compliant AI workflows. That means designing for failure, latency, and adversarial inputs from day one, not retrofitting safety controls after the fact. The space is moving fast, the problems are genuinely unsolved, and we’re ...