Senior Software Engineer

Cloudbeds; Chicago (IL); A distancia; USD 140.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-First Work

Paid Time Off

Fully Paid Parental Leave

Home Office Stipend

Professional Development Courses

Manager Training

Upskilling

Knowledge Transfer

Descripción de la vacante

Cloudbeds is seeking a senior AI Platform Engineer to design, build, and operate customer-facing AI platform services, including agent runtimes, workflow orchestration, tool execution, and integrations with existing systems.

You will establish model evaluation, tracing, observability, and quality feedback loops while providing technical leadership and collaborating across product, design, data, security, and engineering.

Formación

• Requires 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.
• Distributed systems and APIs experience.
• Cloud infrastructure and containers; testing.
• Excellent cross-functional collaboration and business-level English.

Responsabilidades

• Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, tool execution, and integrations with existing services.
• Establish model evaluation, tracing, observability, and quality feedback loops while providing technical leadership.
• Collaborate across product, design, data, security, and engineering to deliver robust AI capabilities.

Conocimientos

Python

Agentic Systems

LLM Workflows

AI Evaluation

AI Observability

LangChain

LangSmith

LangGraph

MCP

Retrieval-Augmented Generation

Vector Databases

Herramientas

PHP

Java

PostgreSQL

AWS

Kubernetes

Descripción del empleo

Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, tool execution, and integrations with existing services. Establish model evaluation, tracing, observability, and quality feedback loops while providing 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, distributed systems and APIs, cloud infrastructure and containers, testing, and cross-functional collaboration; business-level English is required.

Key Skills

• Python
• Agentic Systems
• LLM Workflows
• AI Evaluation
• AI Observability
• LangChain
• LangSmith
• LangGraph
• MCP
• Retrieval-Augmented Generation
• Vector Databases
• PHP
• Java
• PostgreSQL
• AWS
• Kubernetes

Benefits

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