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Cloudbeds is seeking an experienced AI platform engineer to design, build, and operate customer-facing AI services, including agent runtimes and workflow orchestration. You will contribute across product, design, data, security, and engineering to ensure robust integrations with PHP and Java services.
The role emphasizes model evaluation, observability, and continuous feedback loops, under a remote-first model that supports distributed teams and flexible collaboration.
Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, 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 have experience with distributed systems, APIs, testing, cloud infrastructure, and AI evaluation or observability, and be comfortable integrating with PHP and Java services.
Python, Agentic Systems, LLM Workflows, LangChain, LangSmith, LangGraph, MCP, Vector Databases, Retrieval-Augmented Generation, AI Evaluation, LLM Observability, PHP, Java, PostgreSQL, AWS, Docker
Remote-First Work, Paid Time Off, Fully Paid Parental Leave, Home Office Stipend, Professional Development Courses, Manager Training, Upskilling