Staff AI Engineer - AI Platform

ClickUp is the world’s only all-in-one productivity platform that flexes to the way people want to work. It replaces all individual workplace productivity tools with a single, unified platform that includes project management, document collaboration, whiteboards, spreadsheets, and AI. With our headquarters based in San Diego and a rapidly expanding global presence, we are shaping the future of work. Join our team at ClickUp, one of the fastest-growing SaaS companies worldwide, and help millions of users be more productive - saving them at least one day every week. 🦄

Role Overview:

We are seeking a highly skilled and experienced 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 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).
• Proven experience integrating and managing multiple LLMs and AI models, with a strong understanding of their operational requirements and limitations.
• Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar).
• Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development.
• Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation.
• Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations.
• Familiarity with search technologies and their integration into AI-driven applications.
• Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams.
• Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale.
  
  

#LI-REMOTE

#LI-AK2

Salary and Benefits

At ClickUp, we believe in transparency and fairness in compensation. The range displayed reflects the minimum and maximum target salaries for the position across all US locations. Please note that the actual compensation for this position may vary and is dependent on factors such as geographic location,  interview performance, years of experience, education level, and specific skills. We encourage candidates to discuss compensation expectations during the interview process to ensure alignment with their qualifications and our company’s compensation philosophy.

This position is eligible for the following benefits and perks:

• Equity
• 401k
• Health, Den