Staff Backend Engineer, AI Agent Platform

🔥 11 minutes ago

💵 $186k - $217k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

Where this job comes from

Posted on Quo's careers page, not through a job board

First seen by Remote Rocketship 11 minutes ago

Logo of Quo

Quo

51 - 200 employees

☁️ SaaS

🔥 Funding within the last year

💰 $500k Equity Only on 2025-11

SaaS

Quo is a company that uses the branded short domain try. quo. com, which is configured for link redirection. Public information provided is minimal; the presence of a "try" subdomain and active link redirects suggests Quo operates a web-based product or trial flow and uses branded short links for onboarding, marketing, or distribution of its online service.

📋 Description

• Own the architecture of Quo's AI agent platform • Define how teams create and run agents, including shared tools, integrations, model-call infrastructure, and execution engines • Build advanced orchestration involving multiple subagents and long-running agents • Design agent memory and self-learning based on customer feedback • Drive scale, performance, reliability, and cost efficiency of agent execution • Enable other teams to build on the platform through documentation, defaults, advocacy, and pairing • Mentor engineers through design reviews, code reviews, and hands-on coaching • Monitor developments in LLMs and agent tooling and turn them into roadmap proposals • Write substantial production code as the team's hands-on technical lead

🎯 Requirements

• Experience building and scaling the backend of a product with many real users • Experience leading the architecture of business-critical services • Experience shipping LLM-powered systems to production, ideally an agent platform or orchestration layer • Experience with an adjacent system such as an ML platform, workflow engine, or real-time communications infrastructure, with hands-on LLM experience, considered relevant • Strong TypeScript and Node skills, or fluency in another backend language with willingness to ramp up • High agency and ability to independently identify and advance work • Fast learning and knowledge of models, agent frameworks, and tooling • Ability to write clear design documents and explain technical trade-offs • Customer-focused technical decision-making • Experience with Temporal or another durable workflow engine in production preferred as a bonus • Experience with customer-facing AI products preferred as a bonus • Startup founding or early-stage startup experience preferred as a bonus • Ability to work in the United States or Canada, based on the compensation locations • Relevant education considered in determining pay

🏖️ Benefits

• Equity • Extensive medical coverage • Monthly lifestyle stipend • Flexible PTO policy • Remote-first work environment • Culture of trust, autonomy, and action • Opportunities to grow at a rapidly growing startup

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