You build the systems behind the systems. Every Ciridae customer deployment runs on the platform you maintain - the leverage of your work compounds with every new engagement. This is the role for engineers who would rather solve the hardest infrastructure problem once than the same problem six times.
What you own. The hard problems behind running production AI across many live customer environments at once. Multi-tenant infrastructure, reliability and cost controls for non-deterministic systems, evaluation and observability where the ground truth keeps moving, and the internal tooling that turns what we learn on the ground into leverage for the next deployment. The questions a seed-stage team would normally postpone - we answer them now, because we have to.
What you bring. Deep systems engineering - distributed systems, APIs, databases, cloud infra. Expert Python (Go or TypeScript a plus). Terraform, GCP, containers, multi-tenant production experience. Taste for the LLM-specific infra problems: model routing, evals, cost and latency controls.
