Senior AI Engineer - AI Platform

Bazeta; Northern (KY); Remote; USD 180,000 - 240,000; Full time

Job summary

ClickUp is seeking a Senior AI Engineer for the AI Platform to design, build, and scale the core AI infrastructure behind our AI features. You will work with product and engineering teams to deploy, monitor, and continuously improve LLM-powered capabilities across the platform.

The role emphasizes backend scalability, secure data handling, and collaboration with cross-functional teams to deliver reliable, user-centric AI experiences. Remote work options are available for this senior position.

Qualifications

• Extensive experience designing and building scalable AI/ML platforms or infrastructure in production.
• Proven track record applying LLMs and AI models to real-world product features.
• Strong backend and cloud-native engineering skills with scalable systems.

Responsibilities

• Architect and implement scalable AI platform services for LLM deployment and lifecycle management.
• Apply LLMs to ClickUp features and collaborate with product and engineering teams.
• Build robust APIs and backend systems for seamless AI feature integration.
• Drive monitoring, logging, and automated evaluation to ensure reliable AI services.

Skills

Backend engineering

Distributed systems

Cloud-native

LLM integration

Tools

Kubernetes

Docker

AWS/GCP/Azure

Job description

# Senior AI Engineer - AI PlatformUnited States3 hours agoID 1933006Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: ClickUpLevel: Senior## DescriptionAt 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 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. 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 #LI-CC1