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Cloudbeds is looking for an experienced engineer to build and operate customer-facing AI platform services and product features in Las Vegas. You will implement agentic systems and LLM-powered workflows, focusing on scaling, reliability, and observability across a polyglot stack.
You will collaborate with product, design, data, security, and engineering teams to ensure robust performance and quality feedback loops.
Build and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, tool execution, and integrations with existing services. Establish model evaluation, tracing, observability, and quality feedback loops while contributing technical leadership and collaborating across product, design, data, security, and engineering.
Requires 5+ years of experience building and operating production systems, strong production Python skills, and hands-on experience with agentic systems or LLM-powered workflows. Candidates should also bring experience with AI frameworks and evaluation or observability, distributed systems and APIs, cloud infrastructure and containers, testing, and collaboration across a polyglot stack.
Python, Agentic Systems, LLM Workflows, LangChain, LangSmith, LangGraph, MCP, Retrieval-Augmented Generation, Vector Databases, AI Evaluation, LLM Observability, PHP, Java, PostgreSQL, AWS, Docker