Staff AI Engineer - AI Platform

ClickUp · Remote · United States ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$250k – $300k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Staff level role
  • Fully remote
  • AI Platform focus
  • Python + Go
  • LLM orchestration

Join ClickUp as a Staff AI Engineer to shape the backbone of its AI-native workspace. You will design scalable platform services that manage the lifecycle of large language models while directly applying them to enhance user-facing features.

The team focuses on building robust APIs, model serving infrastructure, and secure data handling systems. You will work cross-functionally to ensure reliable, high-performance AI capabilities across tasks, docs, and search.

What you'll do

  • Architect scalable services for LLM deployment and lifecycle management
  • Build backend systems and APIs for seamless AI feature integration
  • Develop infrastructure for model serving, monitoring, and evaluation
  • Manage integrations with providers like OpenAI and Anthropic
  • Implement best practices for AI privacy, security, and compliance
  • Optimize platform performance, scalability, and cost-efficiency
  • Collaborate with product and data teams on user-centric AI experiences

What you'll need

  • Extensive experience building scalable AI/ML platforms in production
  • Proven track record applying LLMs to real-world product features
  • Deep expertise in backend engineering and distributed systems
  • Proficiency in Python, Go, TypeScript or similar languages
  • Experience with orchestration frameworks like LangGraph or Airflow
  • Strong knowledge of MLOps, including deployment and monitoring
  • Ability to address AI privacy challenges and data protection compliance

Nice to have

  • Familiarity with search technologies in AI-driven applications
  • Experience with cloud-native technologies like Kubernetes and Docker
  • Background in optimizing costs for multi-provider LLM routing

Stack

  • Python
  • Go
  • TypeScript
  • Kubernetes
  • Docker
  • AWS
  • GCP
  • Azure
  • LangGraph
  • Airflow
  • Kubeflow
  • Ray
  • OpenAI
  • Anthropic
  • Google

How you'll work

  • Fully remote position
  • Engineering and product roles may consider visa sponsorship based on business needs