ClickUp

Staff AI Engineer focused on building a platform for creating and deploying intelligent agents with a key focus on collaborative and multi-agentic behaviors, using orchestration frameworks like LangGraph and developing evaluation frameworks for AI agents.

Staff AI Engineer focused on building and shipping AI-powered features and products for ClickUp's AI workspace. The role involves integrating and orchestrating multiple LLMs, developing evaluation frameworks, and ensuring scalability and performance in production. Requires strong backend/full-stack engineering skills and experience with AI/LLM integration.

Staff AI Engineer - AI Platform at ClickUp, focusing on building and applying LLMs for an AI-powered workspace. Responsibilities include architecting AI platform services, applying LLMs to features, building backend systems, developing serving/monitoring infrastructure, integrating with LLM providers, ensuring privacy/security, optimizing performance, and staying current with AI advancements. Requires extensive experience in AI/ML platforms, backend engineering, distributed systems, cloud-native tech, LLM integration, orchestration frameworks, and MLOps.

Senior AI Engineer focused on developing and deploying user-facing AI features and products, integrating multiple LLMs, and ensuring scalability and performance in a production environment for an AI-powered workspace.

Senior AI Engineer focused on building the core AI platform and applying LLMs to deliver intelligent features across ClickUp. Responsibilities include architecting scalable AI platform services, applying LLMs to product features, building backend systems and APIs, developing infrastructure for model serving and evaluation, integrating with LLM providers, and optimizing platform performance. Requires extensive experience in AI/ML platforms, backend engineering, distributed systems, and MLOps.

Senior AI Engineer focused on building a platform for creating and deploying sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This backend-focused role requires deep expertise in AI, LLMs, and orchestration software like LangGraph.

ML Engineer role focused on the full lifecycle of ML systems, from feature engineering to model deployment and monitoring. Requires experience in MLOps, Python, ML frameworks, SQL, big data technologies, and cloud platforms. Collaborates with data scientists and data engineering teams to build scalable ML systems for business decisions.