# Senior Backend Engineer

**Company:** [ClickUp](https://hotfix.jobs/companies/clickup)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $160k – $210k/yr
**Experience:** 5+ years
**Skills:** backend engineering, API Design, service architecture, Data Modeling, Performance Optimization, ai/ml systems, llm integration, RAG, TypeScript, Node.js, Python, Go, Vector Databases, Event-Driven Architecture
**Posted:** 2026-07-21

> Senior Backend Engineer building and shipping scalable backend services and APIs that power user-facing AI product experiences, including agents, intelligent workflows, and context-aware features at ClickUp. Requires 5+ years experience, production AI/ML background, and strong product mindset.

## Job Description

## Responsibilities
- Own and ship backend product features that power AI-driven user experiences at scale, including agent interactions, intelligent workflows, and context-aware capabilities.
- Build reliable, observable services tightly integrated with the product surface.
- Partner with AI engineers, product managers, and designers to translate vision into production-ready backend implementations.
- Design and implement backend APIs, services, and data flows for user-facing AI features.
- Own features end-to-end: technical design, implementation, testing, rollout, and monitoring.
- Build backend logic for agent-driven experiences: context retrieval, action execution, conversation management, and intelligent routing.
- Scope, estimate, and deliver features in collaboration with product and design.
- Drive reliability through observability, incident response, performance tuning, and safe rollouts.
- Identify bottlenecks and propose backend solutions to improve user experience.
- Contribute to architecture decisions balancing velocity and maintainability.

## Requirements
- 5+ years of backend engineering experience building and shipping user-facing product features at scale.
- Strong fundamentals in API design, service architecture, data modeling, and performance optimization.
- Experience working with or in support of AI/ML systems in production (model integration, inference pipelines, or agent-driven features).
- Product-minded approach focused on user experience.
- Comfort in ambiguous, fast-moving AI environments.
- Ability to break down product requirements into technical implementations and ship iteratively.
- AI-native mindset with excitement for agents, LLMs, and useful product experiences.

## Nice-to-Haves
- Experience building backend for agent-based or AI-powered products.
- Familiarity with LLM 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.
- Background in SaaS, productivity, or developer platforms.
- Familiarity with vector databases, model gateways, inference optimization, orchestration frameworks.
- Experience at a startup or high-growth company shipping product quickly.

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