Senior Software Engineer

The role

You will design, build, and operate customer-facing AI platform capabilities on the Core AI Squad. This role focuses on production AI systems, agentic workflows, evaluation, and observability using Python.

What you will do

• Design, build, and operate customer-facing AI platform services and product features primarily in Python
• 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
• Evaluate models and providers for specific product use cases
• Own evaluation, tracing, observability, and quality feedback loops for AI features
• Write clean, well-tested, well-documented code
• Collaborate with product, design, data, security, and engineering partners
• Build, debug, and operate services interacting with PostgreSQL, SQS, gRPC, and REST APIs
• Contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship

Required qualifications

• 5+ years of software engineering experience building, shipping, and operating production systems
• Strong proficiency with Python in production environments
• Hands-on experience building, integrating, or evaluating agentic systems, agent harnesses, tool orchestration, or LLM-powered workflows
• Comfortable working across a polyglot stack, especially contributing to or integrating with PHP and Java services
• Experience with API-driven design, distributed systems, data modeling, and reliable service boundaries
• Strong knowledge of software best practices, design patterns, performance, security-minded development, and testing
• Excellent problem-solving and debugging skills
• Good product sense, customer empathy, strong communication, teamwork, ownership, and time management
• Business-level English fluency, verbal and written

Nice to have

• Experience with agentic frameworks and tooling such as LangChain, LangSmith, LangGraph, or similar platforms (PydanticAI, CrewAI, etc)
• Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms
• Familiarity with prompt and version management, guardrails, tracing, LLM observability, cost and latency optimization, or human-in-the-loop workflows
• Experience with cloud infrastructure and containerization such as Docker, Kubernetes, and AWS
• Experience working with remote-first, globally distributed teams

Benefits

• Remote First, Remote Always
• PTO in accordance with local labor requirements
• Fully Paid Parental Leave
• Home office stipend based on country of residency
• Professional development courses in Cloudbeds University
• Access to professional development, including manager training, upskilling, and knowledge transfer

Before you apply

• Applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship
• Cloudbeds is unable to provide sponsorship for work visas

About the company

Cloudbeds is a remote team that builds a platform powering hotels across 150 countries. The company has been recognized for excellence, including being a Deloitte Technology Fast 500 company.