• 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.

• Design and build AI solutions (with a strong focus on LLMs and modern ML) for real-world business problems. • Own the end-to-end lifecycle of AI features: problem definition, data understanding, modeling, evaluation, deployment, monitoring, and iteration. • Develop and optimize LLM-based applications (e.g. RAG, agents, chatbots, document understanding). • Participate in the design and management of data pipelines for efficient data collection, preprocessing, and analytics. • Develop and deploy AI solutions into the company’s cloud infrastructure, ensuring scalability, security, and performance. • Work closely with cross-functional teams to integrate AI capabilities into products, services, and internal tools. • Identify and prioritize areas where AI and machine learning can add measurable value to business processes, products, and operations. • Educate and guide stakeholders on the potential applications of AI, fostering a culture of innovation.