Senior Software Engineer on Cloudbeds’ Core AI Squad, responsible for designing, building, and operating customer-facing AI platform capabilities that power AI-powered product experiences across Cloudbeds. This production AI systems role focuses on agentic workflows, evaluation, and observability, and primarily uses Python while integrating with PHP and Java ecosystems. You will build and evolve agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks; integrate agents and LLM-powered workflows into production systems prioritizing reliability, low latency, scalability, and cost. You will own evaluation, tracing, observability, and quality feedback loops so the team can detect regressions and improve over time. You will write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, and operational excellence. Collaboration with product, design, data, security, and engineering partners is essential to turn ambiguous AI opportunities into reliable customer-facing features. The role involves working with PostgreSQL, SQS, gRPC, and REST APIs, including data models, event streams, service contracts, and versioning. You will contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship. Qualifications include 5+ years of software engineering, strong Python production experience, hands-on experience with agentic systems and tools (LangChain, LangSmith, LangGraph, or similar), familiarity with MCP, vector

Senior Software Engineer on Cloudbeds’ Core AI Squad, responsible for designing, building, and operating customer-facing AI platform capabilities that power AI-powered product experiences across Cloudbeds. This production AI systems role focuses on agentic workflows, evaluation, and observability, and primarily uses Python while integrating with PHP and Java ecosystems. You will build and evolve agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks; integrate agents and LLM-powered workflows into production systems prioritizing reliability, low latency, scalability, and cost. You will own evaluation, tracing, observability, and quality feedback loops so the team can detect regressions and improve over time. You will write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, and operational excellence. Collaboration with product, design, data, security, and engineering partners is essential to turn ambiguous AI opportunities into reliable customer-facing features. The role involves working with PostgreSQL, SQS, gRPC, and REST APIs, including data models, event streams, service contracts, and versioning. You will contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship. Qualifications include 5+ years of software engineering, strong Python production experience, hands-on experience with agentic systems and tools (LangChain, LangSmith, LangGraph, or similar), familiarity with MCP, vector