[Remote] Senior AI Engineer - AI Platform
Note: The job is a remote job and is open to candidates in USA. ClickUp is redefining the future of work by creating a converged AI workspace that enhances productivity. They are seeking a Senior AI Engineer to build and enhance their AI platform, focusing on scalable backend systems and the application of large language models to deliver intelligent features.
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
Skills
- 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
Company Overview
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