Staff Backend Engineer, AI Agent Platform (Remote)

Quo; Myrtle Point (OR); A distancia; USD 186.000 - 217.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity & benefits

Monthly lifestyle stipend

Flexible PTO

Medical coverage

Descripción de la vacante

Quo is seeking a Staff Software Engineer for our AI Agent Platform, leading hands-on technical direction for how agents are built and run. You will own architecture, write code, and shape how customers experience AI inside Quo.

This remote role spans US and Canada, with a focus on scaling, memory, orchestration, and cross-team collaboration. You will mentor engineers, stay current with LLMs, and drive roadmap proposals for the agent platform.

Formación

• You've built and scaled the backend of a product with a lot of real users.
• You've shipped LLM-powered systems to production, ideally an agent platform or orchestration layer.
• You’re strong in TypeScript and Node, or you're fluent in another backend language.
• You have high agency. You see what needs doing, pick it up and move it forward without waiting to be asked.
• You learn fast and you're plugged into the AI world. You know what's changing in models, agent frameworks and tooling, and you have opinions about it.
• You write clear design docs, explain trade-offs well and bring other engineers and teams along with you.
• You care about customers. You weigh technical decisions against the experience of a small business owner using our product every day.

Responsabilidades

• Own the architecture of the agent platform: how any team at Quo creates and runs an agent, the shared pool of tools and integrations agents call, the single layer every model call goes through, and the execution engine that turns model output into real API and tool calls.
• Build advanced orchestration, from one agent coordinating five or more subagents to long-running agents that work on a task for hours.
• Design memory and self-learning, so our agents get better from customer feedback over time.
• Drive the scale, performance, reliability and cost of agent execution as usage grows across calls, texts and the workspace.
• Make it easy for other teams to build on the platform. You'll be its best advocate, with clear docs, good defaults and a lot of pairing.
• Mentor engineers through design reviews, code reviews and hands-on coaching, raising the bar for the whole AI domain.
• Stay close to what's happening in LLMs and agent tooling, and turn what you learn into practical roadmap proposals.

Conocimientos

TypeScript

Node.js

Go

Python

Java

LLMs

Agent platforms

Orchestration

Herramientas

Temporal

RabbitMQ

Kubernetes

PostgreSQL

MongoDB

Elasticsearch

Redis

Datadog

Descripción del empleo

Quo is seeking a Staff Software Engineer for our AI Agent Platform, leading hands-on technical direction for how agents are built and run. You will own architecture, write code, and shape how customers experience AI inside Quo.

This remote role spans US and Canada, with a focus on scaling, memory, orchestration, and cross-team collaboration. You will mentor engineers, stay current with LLMs, and drive roadmap proposals for the agent platform.