engineering
Posted 5 days agoSenior Backend Engineer - AI Product
at ClickUp
United StatesRemote
Responsibilities
- 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.
- - Build services that are reliable, observable, and tightly integrated with the product surface.
- - 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.
Requirements
- At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.
- We are an AI-native company.
- Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process.
- Join us and help redefine what's possible. 🚀 ClickUp is building the world's most complete platform for work by bringing tasks, docs, chat, search, and AI into one connected experience.
- We're hiring a Senior Backend Engineer - AI Product to join the AI Engineering team and build the backend services and product features that power ClickUp's next-generation AI capabilities.
- This is a backend product engineering role at its core, but with one key difference: you'll be building AI-powered product experiences directly, not internal tooling or abstract platform layers.
- You'll ship features end-to-end in support of an AI team that is deep on coding agents, multi-agent orchestration, and production AI systems.
- We're looking for someone who is AI-native (you live in this space, you get the patterns, you're excited about what's possible) but whose strength is shipping reliable, scalable backend product code that delivers real user value.
- WHAT SUCCESS LOOKS LIKE - Ship backend product features that power AI-driven user experiences at scale: agent interactions, intelligent workflows, and context-aware product capabilities.
- RESPONSIBILITIES - Design and implement backend APIs, services, and data flows that power user-facing AI product features.
- - Drive reliability and quality: observability, incident response, performance tuning, and rollout safety for AI-serving product surfaces.
- 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. PREFERRED QUALIFICATIONS -
- Experience building backend features for agent-based or AI-powered product experiences. - Familiarity with LLM integration patterns: RAG, function calling, tool use, prompt routing, context management. -
- Experience with event-driven or asynchronous architectures. - Proficiency in TypeScript/Node.js, Python, or Go. -
Experience
- QUALIFICATIONS - 5+ years of backend engineering
Benefits
- - Partner closely with AI engineers, product managers, and designers to translate product vision into production-ready backend implementations.
Additional details
- - 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. KEY OUTCOMES AND
- - Work directly with product and design to scope, estimate, and deliver features that users interact with daily.
- - 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. REQUIRED