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On-site
Build and operate production AI products and services, including conversational agents, RAG systems, tool-calling workflows, and intelligent automation. Independently turn ambiguous product needs into secure, reliable, observable, and cost-efficient solutions, and evaluate their quality and performance in production.
On-site
Build, operate, and troubleshoot secure, scalable, production infrastructure for AI platforms, web applications, backend services, and shared capabilities across Azure and Oracle Cloud Infrastructure. Own Kubernetes environments, networking, CI/CD, infrastructure automation, observability, production readiness, incident response, reliability, and cost optimization.
On-site
Build and operate the cloud infrastructure powering AI platforms, agent runtimes, and backend services across Azure and OCI. Design and maintain CI/CD pipelines, Kubernetes environments, and end-to-end observability systems to ensure production reliability.
On-site
Set the technical architecture for an agent-powered platform and lead the development of high-throughput APIs using .NET and Python. Mentor engineers and manage end-to-end CI/CD pipelines while optimizing LLM workloads for cost and latency.
