Staff Backend Engineer, AI Agent Platform
New
Q
QuoAI business communications
Remote - United States & CanadaFull-TimeStaff
SalarySF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD; All other US Locations: $186,000 - $217,000 USD; Canada: $189,000 - $222,000 CAD
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Job Details
- Required Skills
- AWSNode.jsKubernetesRabbitmqTypeScript
Requirements
- Have built and scaled the backend of a product with many real users.
- Have led the architecture of business-critical services.
- Have shipped LLM-powered systems to production, ideally an agent platform or orchestration layer.
- Alternatively, have built a related system such as an ML platform, workflow engine, or real-time communications infrastructure, with hands-on LLM experience.
- Be strong in TypeScript and Node, or fluent in another backend language and willing to ramp up.
- Write clear design documents and explain technical trade-offs to other engineers and teams.
- Bonus: Have run Temporal or another durable workflow engine in production.
- Bonus: Have worked on customer-facing AI products.
- Bonus: Have founded or been an early employee at a startup.
Responsibilities
- Own the architecture for how teams create and run agents, including shared tools and integrations, model-call handling, and the execution engine.
- Build orchestration for agents coordinating multiple subagents and for long-running tasks.
- Design memory and self-learning capabilities that use customer feedback over time.
- Improve the scale, performance, reliability, and cost of agent execution across calls, texts, and the workspace.
- Help other teams build on the platform through documentation, good defaults, and pairing.
- Mentor engineers through design reviews, code reviews, and hands-on coaching.
- Track developments in LLMs and agent tooling and turn findings into practical roadmap proposals.
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