Senior Software Engineer

Cloudbeds

Miami (FL)

Remote

USD 140,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Remote-First Work
Paid Time Off
Fully Paid Parental Leave
Home Office Stipend
Professional Development Courses
Manager Training
Upskilling
Knowledge Transfer

Job summary

Cloudbeds is seeking a senior Platform AI Engineer to design, build, and operate customer-facing AI platform services and features. You will own model evaluation, tracing, observability, and quality feedback loops while leading technical initiatives across product, design, data, security, and engineering.

The role requires 5+ years of experience with production systems, strong Python, and hands-on work with agentic LL M-powered workflows.

Qualifications

  • 5+ years of experience building and operating production systems.
  • Strong production Python skills.
  • Hands-on experience with agentic systems or LLM-powered workflows.
  • Experience with AI frameworks and evaluation or retrieval approaches.
  • Distributed systems and APIs, cloud infrastructure, testing, and cross-functional collaboration.

Responsibilities

  • Design, build, and operate customer-facing AI platform services and product features.
  • Own model evaluation, tracing, observability, and quality feedback loops.
  • Collaborate across product, design, data, security, and engineering.

Skills

Python
Artificial Intelligence
Agentic Systems
LLM Workflows
Workflow Orchestration
AI Evaluation
Observability
PHP
Java
PostgreSQL
SQS
gRPC
REST APIs
Docker
Kubernetes
AWS

Job description

Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, tool execution, and integrations with existing services. Own model evaluation, tracing, observability, and quality feedback loops while contributing technical leadership and collaborating across product, design, data, security, and engineering.


Requirements:

Requires 5+ years of experience building and operating production systems, strong production Python skills, and hands-on experience with agentic systems or LLM-powered workflows. Candidates should also bring experience with AI frameworks and evaluation or retrieval approaches, distributed systems and APIs, cloud infrastructure, testing, and cross-functional collaboration; business-level English is required.


Key Skills:

Python, Artificial Intelligence, Agentic Systems, LLM Workflows, Workflow Orchestration, AI Evaluation, Observability, PHP, Java, PostgreSQL, SQS, gRPC, REST APIs, Docker, Kubernetes, AWS


Benefits:

Remote-First Work, Paid Time Off, Fully Paid Parental Leave, Home Office Stipend, Professional Development Courses, Manager Training, Upskilling, Knowledge Transfer

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