Senior AI Engineer – AI Platform

Job not on LinkedIn

🕒 April 30

🇺🇸 United States – Remote

💵 $200k - $250k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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ClickUp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $400M Series C - ClickUp on 2021-10

SaaS • Productivity • Enterprise

ClickUp is a cloud-based SaaS work management and productivity platform that consolidates projects, docs, chat, time tracking, automations and AI-driven "Super Agents" into a single workspace. It helps teams and enterprises streamline workflows, replace fragmented software stacks, and boost productivity with integrations, customizable agents/workflows, and enterprise-grade security and compliance.

📋 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.

🎯 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