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Cloudbeds is seeking an experienced AI Platform Engineer to design, build, and operate customer-facing AI services in Raleigh, NC. You will own agent runtimes, workflow orchestration, and evaluation capabilities while ensuring reliability and observability across production systems.
The role requires 5+ years building production systems with strong Python skills and hands-on experience with agentic/L robust LLM workflows, AI frameworks, APIs, cloud infra, testing, and cross-functional
Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, tool execution, and evaluation capabilities. Integrate AI workflows into production systems and own their reliability, observability, quality feedback loops, and performance while collaborating across product and engineering teams.
Requirements: 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, distributed systems and APIs, cloud infrastructure, testing, and collaboration across a polyglot stack.
Key Skills: Python, Agentic Systems, LLM Workflows, LangChain, LangSmith, LangGraph, MCP, Vector Databases, Retrieval-Augmented Generation, AI Evaluation, PHP, Java, PostgreSQL, SQS, gRPC, REST APIs
Benefits: Paid Time Off, Fully Paid Parental Leave, Home Office Stipend, Professional Development Courses, Manager Training, Upskilling