Latin America; North America•Latin America•North America
Remote
Senior
Full Time
16 days ago
remoteAIPythonseniorsoftware engineer
Requirements
- •5+ years of software engineering experience building, shipping, and operating production systems
- •Strong proficiency with Python in production environments, including APIs, services, tests, 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 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
- •Comfortable working across a polyglot stack, especially contributing to or integrating with PHP and Java services when the product requires it
- •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, plus experience working with remote-first, globally distributed teams
- •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 across unit, integration, and end-to-end levels
- •Excellent problem-solving and debugging skills, especially in complex systems with uncertain or probabilistic behavior
- •Good product sense, customer empathy, strong communication, teamwork, ownership, and time management
- •Business-level English fluency, verbal and written
What You'll Do
- •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
- •Write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, maintainability, and operational excellence
- •Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI product opportunities into reliable customer-facing features
- •Comfort building, debugging, and operating services that interact with PostgreSQL, SQS, gRPC, and REST APIs, including data models, event streams, service contracts, and versioning
- •Contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship
Benefits
- •Remote First, Remote Always
- •PTO in accordance with local labor requirements
- •Monthly Wellness Fridays - enjoy an extra-long weekend every month
- •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
About Cloudbeds
Cloudbeds’ hospitality management platform enables hotels to grow revenue, streamline operations, and deliver memorable guest experiences.
San Diego, CA, US
500 - 1000
Hospitality