ClickUp Applied AI
Staff AI Engineer - AI Platform
- Location USA
- Compensation 250000 – 300000 USD / yearly
- Type Full-Time
- Team Software Engineering
- Posted 2026-10-07
Original posting ↗ You apply on the company site — we never collect applications.
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- Clearance:not mentioned in the posting
- Work auth:not mentioned in the posting
Skills
PythonTypeScriptGoKubernetesDockerAWSAzureGCPAirflowAnthropic API
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 Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: - 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. Qualifications: - Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment. - Proven track record of applying LLMs and AI m…
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