Staff AI Engineer - AI Product

Excerpt from the original posting

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. 

Role Overview: 

We are seeking a highly skilled Staff AI Engineer – AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications.

Key Responsibilities: 

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Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users.

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Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions.

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Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences.

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Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement.

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Ensure the reliability, scalability, and performance of AI-powered features in production environments.

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Stay at the forefront of AI research and product trends, incorporating the latest advancements into ClickUp’s product roadmap.

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Address AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications.

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Mentor and guide other engineers in best practices for building AI-powered products.

Qualifications: 

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Proven experience building and shipping AI-powered features or products in a production environment.

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Deep understanding of LLMs and AI models, including their strengths, limitations, and integration strategies.

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Experience working with orchestration frameworks and integrating multiple AI models to deliver cohesive user experiences.

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Experience developing evaluation frameworks and metrics for AI features, with a focus on user impact and business value.

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Familiari…

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