Senior Software Engineer

About the role

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗖𝗹𝗼𝘂𝗱𝗯𝗲𝗱𝘀 𝗨𝗻𝗶𝗾𝘂𝗲

At Cloudbeds, we're not just building software, we're transforming hospitality. Our platform powers hotels across 150 countries, processing billions in bookings annually. From boutique properties to large hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've continually been recognized for excellence, most recently earning top honors at the 2026 HotelTechAwards for Best Hotel Management Software and landing on Deloitte's Technology Fast 500 again, but we're just getting started.

𝗛𝗼𝘄 𝗬𝗼𝘂'𝗹𝗹 𝗠𝗮𝗸𝗲 𝗮𝗻 𝗜𝗺𝗽𝗮𝗰𝘁:

As a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds. This is a product engineering role focused on production AI systems, agentic workflows, evaluation, and observability - not an internal tooling role. You'll work primarily in Python while collaborating across our broader PHP and Java ecosystem, building systems where correctness, reliability, latency, cost, and model quality are core to the job. Your goal is to help Cloudbeds ship AI-powered customer experiences that are useful, trusted, scalable, and measurable.

𝗢𝘂𝗿 𝗖𝗼𝗿𝗲 𝗔𝗜 𝗦𝗾𝘂𝗮𝗱:

The Core AI Squad owns the customer-facing AI platform infrastructure, agentic workflows, and evaluation and observability foundations that enable AI-powered experiences across Cloudbeds products. The team builds the production capabilities that let us evaluate models and providers for specific use cases, orchestrate tools and workflows, measure quality over time, and integrate AI safely into real customer journeys. You'll join a senior, product-minded group that values ownership, pragmatic architecture, fast learning, and strong collaboration across product, design, data, and engineering.

𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗕𝗿𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗲 𝗧𝗲𝗮𝗺:

- Design, build, and operate customer-facing AI platform services and product features primarily in Python, while integrating with PHP and Java systems as needed

- Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks

- Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost

- Evaluate models and providers for specific product use cases, using clear success criteria and abstractions that keep the platform flexible as the AI ecosystem evolves

- Own evaluation, tracing, observability, and quality feedback loops for AI features so the team can detect regressions, understand behavior, and improve over time