Staff AI Engineer - AI Platform
ClickUp · USA
About this role
## Staff AI Engineer — AI Platform At ClickUp, we’re building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search—supercharged by context-driven AI. We’re an AI-native company, and every team member is expected to leverage AI daily. ### Role Overview We’re seeking a **highly skilled Staff AI Engineer (AI Platform)** to join our ClickUp Engineering team. You’ll help build the core AI platform and apply LLMs to deliver intelligent features across ClickUp. You’ll focus on **backend systems** that enable scalable, reliable, and secure AI-powered capabilities, while working hands-on with LLMs to solve real user problems and drive product innovation. ### Key Responsibilities - Architect, design, and implement **scalable AI platform services** for deployment, orchestration, and lifecycle management of LLMs and other AI models. - Apply LLMs and AI technologies to build and enhance ClickUp’s intelligent features in collaboration with product and engineering teams. - Build and maintain **robust APIs and backend systems** to integrate AI-powered features into ClickUp’s core platform. - Develop infrastructure for **model serving, monitoring, logging, and automated evaluation** to ensure production reliability and performance. - Integrate with multiple LLM providers (e.g., **OpenAI, Anthropic, Google**) and manage model selection, routing, and fallback strategies for performance and cost. - Drive best practices in **AI privacy, security, and compliance**, including data anonymization and secure data handling. - Optimize platform **performance, scalability, and cost-efficiency** using cloud-native technologies and distributed systems. - Stay current with advancements in **AI infrastructure, MLOps, and LLM applications**, and incorporate relevant innovations. - Collaborate cross-functionally with **product, frontend, and data** teams to deliver seamless, reliable, user-centric AI experiences. ### Qualifications - Extensive experience designing and building **scalable AI/ML platforms or infrastructure** in production. - Proven track record applying LLMs/AI models to real-world product features and user-facing solutions. - Deep expertise in **backend engineering, distributed systems, and cloud-native technologies** (e.g., Kubernetes, Docker, AWS/GCP/Azure). - Experience integrating and managing **multiple LLMs/AI models**, including operational requirements and limitations. - Proficiency with orchestration frameworks/workflow engines (e.g., **LangGraph, Airflow, Kubeflow, Ray**, or similar). - Strong programming skills in **Python, Go, TypeScript**, or similar backend/AI platform languages. - Experience with **MLOps** best practices: deployment, monitoring, logging, and automated evaluation. - Demonstrated ability to address **AI privacy and security** challenges (e.g., data anonymization and regulatory compliance). - Familiarity with **search technologies** and their integration into AI-driven applications. - Excellent collaboration and communication skills across cross-functional teams.
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