Senior AI Platform Engineer: Remote, Observability & Scale

Cloudbeds; Houston (TX); Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote-First Work

Paid Time Off

Fully Paid Parental Leave

Home Office Stipend

Professional Development Courses

Manager Training

Upskilling

Job summary

Cloudbeds is seeking an experienced AI platform engineer to design, build, and operate customer-facing AI services, including agent runtimes and workflow orchestration. You will contribute across product, design, data, security, and engineering to ensure robust integrations with PHP and Java services.

The role emphasizes model evaluation, observability, and continuous feedback loops, under a remote-first model that supports distributed teams and flexible collaboration.

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 distributed systems, APIs, testing, cloud infrastructure, and AI evaluation or observability.
• Comfortable integrating with PHP and Java services.

Responsibilities

• Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, and integrations with existing services.
• Establish model evaluation, tracing, observability, and quality feedback loops.
• Provide technical leadership and collaborate across product, design, data, security, and engineering.

Skills

Python

Agentic Systems

LLM Workflows

LangChain

LangSmith

LangGraph

MCP

Vector Databases

Retrieval-Augmented Generation

AI Evaluation

LLM Observability

Tools

PHP

Java

PostgreSQL

AWS

Docker

Job description

Cloudbeds is seeking an experienced AI platform engineer to design, build, and operate customer-facing AI services, including agent runtimes and workflow orchestration. You will contribute across product, design, data, security, and engineering to ensure robust integrations with PHP and Java services.

The role emphasizes model evaluation, observability, and continuous feedback loops, under a remote-first model that supports distributed teams and flexible collaboration.