Staff AI Engineer - AI Platform

ClickUp ClickUp · Enterprise · United States · Engineering

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.

What you'd actually do

  1. Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models.
  2. 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.
  3. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform.
  4. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.
  5. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost.

Skills

Required

  • Designing and building scalable AI/ML platforms or infrastructure in a production environment
  • Applying LLMs and AI models to real-world product features and user-facing solutions
  • Backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)
  • Integrating and managing multiple LLMs and AI models
  • Orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)
  • Python, Go, TypeScript or similar languages
  • MLOps best practices, including model deployment, monitoring, logging, and automated evaluation
  • Addressing AI privacy and security challenges, including data anonymization and compliance with data protection regulations
  • Search technologies and their integration into AI-driven applications
  • Collaboration and communication skills
  • Working effectively in cross-functional teams

Nice to have

  • Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale.

What the JD emphasized

  • scalable AI platform services
  • deployment, orchestration, and lifecycle management of LLMs
  • Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features
  • robust APIs and backend systems
  • seamless integration of AI-powered features
  • model serving, monitoring, logging, and automated evaluation
  • high reliability and performance of AI services in production
  • Integrate with multiple LLM providers
  • manage model selection, routing, and fallback strategies
  • AI privacy, security, and compliance
  • data anonymization, secure data handling, and regulatory adherence
  • Optimize platform performance, scalability, and cost-efficiency
  • cloud-native technologies and distributed systems
  • advancements in AI infrastructure, MLOps, and LLM applications
  • 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
  • Proven experience integrating and managing multiple LLMs and AI models
  • Proficiency in orchestration frameworks and workflow engines
  • Experience with MLOps best practices
  • model deployment, monitoring, logging, and automated evaluation
  • Demonstrated ability to address AI privacy and security challenges
  • data anonymization and compliance with data protection regulations
  • Familiarity with search technologies and their integration into AI-driven applications
  • working effectively in cross-functional teams
  • staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale

Other signals

  • architecting the future of work
  • first truly converged AI workspace
  • unifying tasks, docs, chat, calendar, and enterprise search
  • context-driven AI
  • empowering millions of teams
  • reclaim their time
  • unlock new levels of productivity
  • pioneer AI in ways that shape not only our product, but the future of work itself
  • architect, design, and implement scalable AI platform services
  • deployment, orchestration, and lifecycle management of LLMs
  • apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features
  • deliver impactful solutions
  • Build and maintain robust APIs and backend systems
  • seamless integration of AI-powered features
  • Develop infrastructure for model serving, monitoring, logging, and automated evaluation
  • ensure high reliability and performance of AI services in production
  • Integrate with multiple LLM providers
  • manage model selection, routing, and fallback strategies
  • Drive the adoption of best practices in AI privacy, security, and compliance
  • 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
  • proactively incorporate relevant innovations into ClickUp’s AI platform
  • Collaborate cross-functionally with product, frontend, and data teams
  • deliver seamless, reliable, and user-centric AI experiences
  • 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
  • Proven experience integrating and managing multiple LLMs and AI models
  • strong understanding of their operational requirements and limitations
  • Proficiency in orchestration frameworks and workflow engines
  • Strong programming skills in Python, Go, TypeScript
  • Experience with MLOps best practices
  • model deployment, monitoring, logging, and automated evaluation
  • Demonstrated ability to address AI privacy and security challenges
  • data anonymization and compliance with data protection regulations
  • Familiarity with search technologies and their integration into AI-driven applications
  • Excellent collaboration and communication skills
  • 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