Jobs · Engineering

Staff AI Engineer - AI Product

ClickUp · United States · 1 wk ago
RemoteRemoteEngineering$250k–$300k/yrFull-time

Role Overview

Join us and help redefine what's possible. 🚀

Key Responsibilities

  • Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users.
  • Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions.
  • Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences.
  • Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement.
  • Ensure the reliability, scalability, and performance of AI-powered features in production environments.
  • Stay at the forefront of AI research and product trends, incorporating the latest advancements into ClickUp’s product roadmap.
  • Address AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications.
  • Mentor and guide other engineers in best practices for building AI-powered products.

Qualifications

  • Proven experience building and shipping AI-powered features or products in a production environment.
  • Deep understanding of LLMs and AI models, including their strengths, limitations, and integration strategies.
  • 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.
  • Familiarity with AI privacy, security, and compliance best practices.
  • 5+ years of backend and/or full-stack engineering experience, with proficiency in Python, JavaScript/TypeScript, or similar languages.
  • 5+ years of experience with PostgresDB, MySQL, or other related DBs.
  • 5+ years of experience with Elasticsearch or other related technologies.
  • Experience setting up production-ready observability and logging.
  • Demonstrated ability to collaborate cross-functionally and translate product requirements into technical solutions.
  • Passion for staying updated with the latest AI research and applying it to solve real-world user problems.
  • Excellent communication and mentorship skills, with a track record of influencing product direction and engineering best practices.

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