Senior Backend Engineer – AI Product

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $160k - $210k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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ClickUp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $400M Series C - ClickUp on 2021-10

SaaS • Productivity • Enterprise

ClickUp is a cloud-based SaaS work management and productivity platform that consolidates projects, docs, chat, time tracking, automations and AI-driven "Super Agents" into a single workspace. It helps teams and enterprises streamline workflows, replace fragmented software stacks, and boost productivity with integrations, customizable agents/workflows, and enterprise-grade security and compliance.

📋 Description

• Own and ship the backend product work that brings ClickUp's AI-driven experiences to life, ensuring the features our users interact with are fast, reliable, and well-architected. • Ship backend product features that power AI-driven user experiences at scale: agent interactions, intelligent workflows, and context-aware product capabilities. • Build services that are reliable, observable, and tightly integrated with the product surface. • Partner closely with AI engineers, product managers, and designers to translate product vision into production-ready backend implementations. • Move fast without breaking things: balance iteration speed with code quality and system reliability. • Help the team make smart tradeoffs between feature velocity, system durability, and user experience. • Design and implement backend APIs, services, and data flows that power user-facing AI product features. • Own features end-to-end: from technical design through implementation, testing, rollout, and production monitoring. • Build the backend logic for agent-driven product experiences: context retrieval, action execution, conversation management, and intelligent routing. • Work directly with product and design to scope, estimate, and deliver features that users interact with daily. • Drive reliability and quality: observability, incident response, performance tuning, and rollout safety for AI-serving product surfaces. • Identify product-level bottlenecks and propose pragmatic backend solutions that improve the user experience. • Contribute to architecture decisions that balance product velocity with long-term maintainability.

🎯 Requirements

• 5+ years of backend engineering experience building and shipping user-facing product features at meaningful scale. • Strong fundamentals in API design, service architecture, data modeling, and performance optimization. • Experience working directly with or in support of AI/ML systems in production (model integration, inference pipelines, or agent-driven features). • Product-minded: you care about what the user experiences, not just what the system does internally. • Comfort working in ambiguous, fast-moving environments where the AI landscape is shifting constantly. • Ability to break down product requirements into clean technical implementations and ship them iteratively. • AI-native mindset: you're not just adjacent to AI, you're genuinely excited about agents, LLMs, and building the product experiences that make them useful. • Experience building backend features for agent-based or AI-powered product experiences. (preferred) • Familiarity with LLM integration patterns: RAG, function calling, tool use, prompt routing, context management. (preferred) • Experience with event-driven or asynchronous architectures. (preferred) • Proficiency in TypeScript/Node.js, Python, or Go. (preferred) • Experience in SaaS, productivity, or developer-platform environments. (preferred) • Familiarity with modern AI patterns: vector databases, model gateways, inference optimization, orchestration frameworks. (preferred) • Background at a startup or high-growth company where you shipped product fast and wore multiple hats. (preferred)

🏖️ Benefits

• Equity • 401k • Health, Dental, and Vision insurance • Spending accounts • Life & Disability • Paid parental leave • Flexible paid time off • Enhanced employee assistance program • Employee wellness stipend • Professional development stipend