ClickUp

The world's most productive AI Workspace for projects, tasks, chat, docs, and more. All software and humans - converged.

Staff AI Engineer – AI Platform

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2017Company SiteLinkedIn

Location

United States

Posted

15 days ago

Salary

$250K - $300K / year

Bachelor DegreeEnglishAirflowAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonRayType ScriptGo

Job Description

• 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.

Job Requirements

  • 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.

Benefits

  • Equity
  • 401k
  • Health, Dental, and Vision insurance
  • Spending accounts
  • Life & Disability
  • Paid parental leave
  • Flexible paid time off
  • Enhanced employee assistance program
  • Employee wellness stipend
  • Professional development stipend

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