Senior AI Engineer - AI Product

ClickUp ClickUp · Enterprise · United States · Engineering

Senior AI Engineer focused on developing and deploying user-facing AI features and products, integrating multiple LLMs, and ensuring scalability and performance in a production environment for an AI-powered workspace.

What you'd actually do

  1. Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users.
  2. Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions.
  3. Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences.
  4. Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement.
  5. Ensure the reliability, scalability, and performance of AI-powered features in production environments.

Skills

Required

  • Python
  • JavaScript/TypeScript
  • PostgresDB
  • MySQL
  • Elasticsearch
  • backend engineering
  • full-stack engineering
  • LLMs
  • AI models
  • orchestration frameworks
  • evaluation frameworks
  • AI privacy
  • AI security
  • AI compliance
  • observability
  • logging

Nice to have

  • passion for staying updated with the latest AI research
  • applying AI to solve real-world user problems
  • communication skills
  • mentorship skills
  • influencing product direction
  • engineering best practices

What the JD emphasized

  • Proven experience building and shipping AI-powered features or products in a production environment.
  • Experience working with orchestration frameworks and integrating multiple AI models to deliver cohesive user experiences.
  • Experience developing evaluation frameworks and metrics for AI features, with a focus on user impact and business value.
  • Address AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications.

Other signals

  • integrating multiple LLMs
  • building scalable, production-ready applications
  • AI-powered features and products