> Markdown version of [/jobs/ext/1773956-backend-engineer-ai-product](https://www.wearedevelopers.com/jobs/ext/1773956-backend-engineer-ai-product). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - AI Product - **Company:** DRIVEN AI LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Python (Programming Language), Node.Js, Performance Tuning, Software Product Management, Service-Oriented Architecture, Data Streaming, Systems Integration, TypeScript, Enterprise Search, Delivery Pipeline, Large Language Models, Backend, Kubernetes, Machine Learning Operations, Api Design - **Published:** July 22, 2026 - **Apply:** https://jobs.ashbyhq.com/clickup/17a34ff4-88a0-4503-8c1d-8d2941a5d8e6/2657e8034us ## About the Role * 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. * 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., * Fully remote ## 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. 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. * 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. Key outcomes and responsibilities * 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. ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)