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Senior Software Engineer – Core AI Squad

Cloudbeds · San Jose

Nouveau Remote
Remote Senior 🇬🇧 English
Python PHP Java PostgreSQL gRPC REST APIs LangChain LangSmith LangGraph vector databases RAG architectures AWS Docker Kubernetes

Description du poste

About the role

As a Senior Software Engineer on Cloudbeds' Core AI Squad, you will design, build, and operate customer‑facing AI platform services that power intelligent experiences across the hospitality SaaS suite. The role focuses on production AI systems, agentic workflows, evaluation, and observability, primarily using Python while collaborating with PHP and Java services.

Key responsibilities

  • Design, develop, and maintain AI platform services and product features, ensuring reliability, latency, scalability, and cost efficiency.
  • Build and evolve agentic harnesses, including runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks.
  • Integrate LLM‑powered workflows into production systems and evaluate models and providers against clear success criteria.
  • Own tracing, observability, and quality feedback loops for AI features to detect regressions and improve performance.
  • Collaborate with product, design, data, security, and engineering teams to turn ambiguous AI opportunities into reliable customer‑facing features.

Required profile

  • 5+ years of software engineering experience building and operating production systems.
  • Strong proficiency in Python for API services, testing, debugging, and operational ownership.
  • Hands‑on experience with agentic frameworks (e.g., LangChain, LangSmith, LangGraph) and AI evaluation platforms.
  • Comfort working across a polyglot stack and integrating with PHP and Java services when needed.
  • Experience with cloud infrastructure, containerization (Docker, Kubernetes) and AWS.

Required skills

  • Python
  • PHP
  • Java
  • PostgreSQL
  • Amazon SQS
  • gRPC
  • REST APIs
  • LangChain, LangSmith, LangGraph (or similar)
  • Vector databases and Retrieval‑Augmented Generation (RAG) patterns
  • AWS, Docker, Kubernetes

What we offer

  • Remote‑first, fully remote work environment.
  • PTO in accordance with local labor requirements and fully paid parental leave.
  • Home office stipend based on country of residency.
  • Professional development through Cloudbeds University and upskilling programs.
  • Inclusive culture with equal‑opportunity commitment.

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Cloudbeds

San Jose