3 days ago
Miami, FL, USAStaff+

Responsibilities

  • Set enterprise standards for AI-assisted software engineering, including agentic coding workflows, reusable templates, plugins, skills, MCP servers, and agent-readable guidance.
  • Architect, build, and deliver GenAI applications, agents, RAG pipelines, APIs, and full-stack solutions across brands and business functions.
  • Own testing strategy and evaluation frameworks for LLM applications, agents, retrieval pipelines, tool integrations, and production quality.
  • Integrate automated testing, static analysis, security checks, AI-assisted review, and evaluation gates into CI/CD workflows.
  • Implement secure authentication, authorization, secrets management, API management, observability, LLMOps, AI safety controls, and infrastructure automation.
  • Partner with business users to create prototypes and production services, conduct feasibility studies, and translate requirements into technical solutions.
  • Mentor engineers, lead workshops and design reviews, contribute to AI governance, and communicate technical trade-offs to stakeholders and leadership.

Requirements

  • 7+ years of professional software engineering experience and 2+ years building and shipping GenAI or LLM-based applications to production.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Advanced hands-on proficiency with agentic coding tools such as Claude Code, including context engineering, instruction files, subagents, hooks, and parallel workflows.
  • Experience building and distributing adopted engineering skills, plugins, slash commands, subagents, or MCP servers through shared repositories or catalogs.
  • Strong Python skills and TypeScript or another full-stack language, with the ability to design sound APIs and architectures.
  • Hands-on expertise in unit, integration, contract, end-to-end, CI automation, and non-deterministic system testing.
  • Experience designing and operating LLM evaluations using golden datasets, metrics, LLM-as-judge methods, human review, release gates, and production monitoring.
  • Deep understanding of GenAI architectures, including RAG, tool use, function calling, MCP, and single- and multi-agent orchestration.
  • Proven Azure cloud expertise, containerization, infrastructure as code, CI/CD, enterprise identity management, secure coding, responsible AI, observability, and LLMOps.
  • Experience partnering with business users, delivering enterprise-scale cross-functional projects, mentoring engineers, and communicating technical standards and trade-offs.
  • Preferred qualifications include a master's degree, Claude Agent SDK or similar framework experience, internal plugin marketplace experience, Databricks expertise, Copilot extensibility, Semantic Kernel, evaluation tooling, multi-cloud GenAI platforms, MCP interoperability, AI safety testing, and AI governance experience.

Benefits

  • Competitive compensation and benefits package with career development opportunities.
  • Full-time onsite position based in Miami, Florida.
  • The position is not eligible for work authorization sponsorship.

Tech Stack

DatabricksFastAPINext.jsPostgreSQLpytestPythonTypeScript

Categories

Royal Caribbean Group

About Royal Caribbean Group

10,000+ employees

Royal Caribbean Group is a publicly traded cruise vacation company that operates the Royal Caribbean International, Celebrity Cruises, and Silversea brands. It sells ocean cruises and related experiences to leisure travelers worldwide, generating revenue from ticket sales and onboard services. Founded in 1968 and headquartered in Miami, it also holds a 50% stake in a joint venture operating TUI Cruises and Hapag-Lloyd Cruises, with ships visiting hundreds of destinations.

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