Member of Technical Staff
Ciridae
Member of Technical Staff
Ciridae
End-to-end AI transformation and deployment
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.
Ciridae provides end-to-end AI transformation services that help organizations become AI-first. It combines strategy with hands-on implementation to identify high-impact opportunities, modernize data foundations, and deploy production-grade AI systems that automate workflows across business functions. Its process includes diligence and risk assessment, workflow redesign, full-stack system construction (with integrations to existing systems), and ongoing command-and-control operations to monitor performance, handle exceptions, and iterate in production. Ciridae sits between traditional consulting and engineering teams, offering quick initial solutions and scalable architectures for longer-term transformation, especially in environments with legacy processes. The goal is to enable enterprises and PE-backed operators to adopt AI at scale, improve efficiency through automation, and maintain reliable, governed AI systems over time.
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