Senior Software Engineer

Cloudbeds; Minneapolis (MN); A distancia; USD 120.000 - 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

Descripción de la vacante

Cloudbeds seeks an experienced engineer to design, build, and operate customer-facing AI platform services and product features. You will implement agent runtimes and workflow orchestration, and you will integrate AI workflows with existing services across a polyglot stack.

The role emphasizes production systems, observability, and measurable AI experiences, with a remote-first work setup and opportunities for professional development.

Formación

• 5+ years of experience building and operating production systems.
• Strong production Python skills and hands-on experience with agentic systems or LLM-powered workflows.
• Experience with distributed systems, APIs, testing, cloud infrastructure, and AI evaluation/observability.

Responsabilidades

• Design, build, and operate customer-facing AI platform services and product features.
• Develop agent runtimes, workflow orchestration, and integrations with existing services.

Conocimientos

Agentic Systems

LLM Workflows

Python

AI Evaluation

AI Observability

Distributed Systems

Cloud Infrastructure

APIs

Testing

Herramientas

LangChain

LangSmith

LangGraph

MCP

Retrieval-Augmented Generation

Vector Databases

AWS

Docker

PHP

Java

PostgreSQL

Descripción del empleo

Design, build, and operate customer-facing AI platform services and product features, including agent runtimes, workflow orchestration, and integrations with existing services. Establish evaluation, tracing, observability, and quality feedback loops while collaborating across product and engineering teams to deliver reliable, measurable AI experiences.

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 distributed systems, APIs, testing, cloud infrastructure, and AI evaluation or observability, along with the ability to collaborate across a polyglot stack.

Key Skills:

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

Benefits:

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