A complete application in a minute
Tailored resume and cover letter, ready to send.
Cloudbeds is seeking a senior Platform AI Engineer to design, build, and operate customer-facing AI platform services and features. You will own model evaluation, tracing, observability, and quality feedback loops while leading technical initiatives across product, design, data, security, and engineering.
The role requires 5+ years of experience with production systems, strong Python, and hands-on work with agentic LL M-powered workflows.
Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, tool execution, and integrations with existing services. Own 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 retrieval approaches, distributed systems and APIs, cloud infrastructure, testing, and cross-functional collaboration; business-level English is required.
Python, Artificial Intelligence, Agentic Systems, LLM Workflows, Workflow Orchestration, AI Evaluation, Observability, PHP, Java, PostgreSQL, SQS, gRPC, REST APIs, Docker, Kubernetes, AWS
Remote-First Work, Paid Time Off, Fully Paid Parental Leave, Home Office Stipend, Professional Development Courses, Manager Training, Upskilling, Knowledge Transfer