The ad says“Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations”
The ad says“Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment”
The ad says“Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)”
The ad says“Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations”
The ad says“Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development”
The ad says“Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)”
The ad says“Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)”
The ad says“Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)”
The ad says“Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions”
The ad says“Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation”
The ad says“Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation”
The ad says“Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation”
The ad says“Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation”
The ad says“Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)”
The ad says“Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development”
The ad says“Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)”
The ad says“Familiarity with search technologies and their integration into AI-driven applications”
The ad says“Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development”
We are seeking a skilled and experienced Senior 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
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
Benefits
16” MacBook Pro
Moving Expenses
$200/mo commuter benefits
Team lunches each week
401(k) match up to 2%
Unlimited snacks, kombucha, and cold brew
Health insurance
Dental insurance
ClickUp swag
Teammate recognition rewards
Flexible PTO
Preferred experience
Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale
Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development
Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions
Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams
Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations
Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)
Familiarity with search technologies and their integration into AI-driven applications
Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)
Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation
Proven experience integrating and managing multiple LLMs and AI models, with a strong understanding of their operational requirements and limitations
Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment
Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!
