Senior Backend Engineer - AI Product

Role Description

ClickUp is 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 role focuses on:

• Building AI-powered product experiences directly, rather than internal tooling or abstract platform layers.
• Shipping features end-to-end in support of an AI team focused on coding agents, multi-agent orchestration, and production AI systems.
• Ensuring backend product work brings ClickUp's AI-driven experiences to life, ensuring features are fast, reliable, and well-architected.

What success looks like:

• Shipping backend product features that power AI-driven user experiences at scale: agent interactions, intelligent workflows, and context-aware product capabilities.
• Building services that are reliable, observable, and tightly integrated with the product surface.
• Partnering closely with AI engineers, product managers, and designers to translate product vision into production-ready backend implementations.
• Balancing iteration speed with code quality and system reliability.
• Helping the team make smart tradeoffs between feature velocity, system durability, and user experience.

Key outcomes and responsibilities:

• Designing and implementing backend APIs, services, and data flows that power user-facing AI product features.
• Owning features end-to-end: from technical design through implementation, testing, rollout, and production monitoring.
• Building backend logic for agent-driven product experiences: context retrieval, action execution, conversation management, and intelligent routing.
• Working directly with product and design to scope, estimate, and deliver features that users interact with daily.
• Driving reliability and quality: observability, incident response, performance tuning, and rollout safety for AI-serving product surfaces.
• Identifying product-level bottlenecks and proposing pragmatic backend solutions that improve the user experience.
• Contributing to architecture decisions that balance product velocity with long-term maintainability.

Qualifications

• 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 genuinely excited about agents, LLMs, and building the product experiences that make them useful.

Requirements

• 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 in SaaS, productivity, or developer-platform environments.
• Familiarity with modern AI patterns: vector databases, model gateways, inference optimization, orchestration frameworks.
• Background at a startup or high-growth company where you shipped product fast and wore multiple hats.

Location

Fully remote