Senior Backend Engineer – AI Product

ClickUp

Senior Backend Engineer developing AI-driven user experiences for ClickUp's platform. Collaborating with AI engineers and product managers to deliver feature-rich backend solutions.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $160,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend engineering with a focus on API design, service architecture, and performance optimization, particularly in AI-driven product environments. Proven ability to deliver user-facing features at scale while ensuring system reliability and maintainability.

Highest-signal resume keywords

Backend EngineeringAPI DesignAI/ML Systems IntegrationTypeScript/Node.js ProficiencyEvent-Driven Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DesignService ArchitectureData ModelingPerformance OptimizationTypeScriptNode.jsPythonGoEvent-Driven ArchitectureAsynchronous Architecture

Soft Skills

Product-MindedAdaptabilityCollaborationProblem-Solving

Tools & Technologies

AI-Driven ExperiencesObservability ToolsIncident Response ToolsVector DatabasesModel GatewaysInference OptimizationOrchestration Frameworks

Industry Keywords

SaaSProductivityDeveloper-PlatformAI PatternsAgent-Based Features

Tech Stack

Tools & technologies

GoJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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