ClickUp01.05.2026
Staff AI Engineer - AI Platform
Полная занятостьУдалёнка
Обязанности
- 01Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models
- 02Apply 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
- 03Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform
- 04Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production
- 05Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost
- 06Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence
- 07Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems
- 08Stay current with advancements in AI infrastructure, MLOps, and LLM applications, and proactively incorporate relevant innovations into ClickUp’s AI platform
- 09Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences
Требования
- 01Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment
- 02Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions
- 03Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure)
- 04Proven experience integrating and managing multiple LLMs and AI models, with a strong understanding of their operational requirements and limitations
- 05Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)
- 06Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development
- 07Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation
- 08Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations
- 09Familiarity with search technologies and their integration into AI-driven applications
- 10Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams
- 11Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale