Cloudbeds

Cloudbeds

Cloudbeds provides a top-rated hospitality management system for hotels and properties worldwide, offering seamless operations, revenue optimization, and online booking capabilities to enhance guest experiences and drive revenue growth.

Internet Software & Services
501-1000
Founded 2012
$248M raised

Description

  • Design, build, and operate customer-facing AI platform services and product features, primarily in Python.
  • Develop agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks.
  • Integrate agents and LLM-powered workflows into production systems with focus on reliability, correctness, latency, scalability, and cost.
  • Evaluate AI models and providers against product use cases and defined success criteria.
  • Own AI evaluation, tracing, observability, and quality-feedback loops to detect regressions and improve features.
  • Build, debug, and operate services using PostgreSQL, SQS, gRPC, and REST APIs.
  • Write well-tested, documented, maintainable code and promote engineering best practices and operational excellence.
  • Collaborate with product, design, data, security, and engineering teams to deliver customer-facing AI features.
  • Provide technical leadership through architecture input, code reviews, pair programming, and mentorship.

Requirements

  • 5+ years of software engineering experience building, shipping, and operating production systems.
  • Strong production Python experience, including APIs, services, testing, debugging, and operational ownership.
  • Hands-on experience building, integrating, or evaluating agentic systems, agent harnesses, tool orchestration, or LLM-powered workflows.
  • Experience with agentic frameworks such as LangChain, LangSmith, LangGraph, PydanticAI, CrewAI, or similar tools.
  • Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms.
  • Ability to work across a polyglot stack, including PHP and Java services.
  • Familiarity with prompt and version management, guardrails, tracing, LLM observability, cost and latency optimization, or human-in-the-loop workflows.
  • Experience with Docker, Kubernetes, AWS, API-driven design, distributed systems, data modeling, and reliable service boundaries.
  • Strong knowledge of software design patterns, performance, security-minded development, and unit, integration, and end-to-end testing.
  • Business-level written and spoken English; must be authorized to work in the job location without visa sponsorship.

Benefits

  • Annual US salary range of $140,000–$180,000 USD, with flexibility for packages above the range.
  • Remote-first work environment.
  • PTO in accordance with local labor requirements.
  • Fully paid parental leave.
  • Home-office stipend based on country of residence.
  • Professional development courses through Cloudbeds University.
  • Manager training, upskilling, and knowledge-transfer opportunities.

Interested in this position?

Apply directly on the company website

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