• Design and build production-grade AI systems • Make principled architecture choices regarding RAG and fine-tuning • Build comprehensive evaluation and observability frameworks • Create production-quality Python services • Manage the economics of LLM usage • Partner with Product and Data Science teams • Mentor junior engineers on AI craft • Establish standards for performance and data governance

• Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. • Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. • Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. • Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. • Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. • Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. • Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. • Stay current with advancements in AI infrastructure, MLOps, and LLM applications, and proactively incorporate relevant innovations into ClickUp’s AI platform. • Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.

• Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. • Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. • Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. • Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. • Ensure the reliability, scalability, and performance of AI-powered features in production environments. • Stay at the forefront of AI research and product trends, incorporating the latest advancements into ClickUp’s product roadmap. • Address AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications. • Mentor and guide other engineers in best practices for building AI-powered products.

• Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. • Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. • Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination. • Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. • Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. • Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. • Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. • Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access.