Staff AI Engineer - AI Product
ClickUp
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Job Description
ClickUp is a unified platform that brings tasks, docs, chat, calendar, and enterprise search together, enhanced with AI. Over three million teams use ClickUp to streamline their work. The company is focused on enhancing productivity. They are seeking a Staff AI Engineer to drive the development of user-facing AI features. This role involves working with product, design, and engineering teams to create AI-powered experiences that differentiate ClickUp in the productivity space. The Staff AI Engineer will lead the design, development, and deployment of AI features that directly impact ClickUp users. Responsibilities include integrating LLMs and AI models, prototyping new features, and ensuring the reliability of AI-powered features in production environments. The engineer will also mentor other engineers and stay updated with the latest AI trends. Benefits include equity, 401k, health, dental, and vision insurance, paid parental leave, and flexible paid time off. This is a product-focused role requiring deep expertise in AI, LLMs, and building scalable applications.
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
Requirements
- 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
Benefits
- Equity
- 401k
- Health, Dental, and Vision insurance
- Spending accounts
- Life & Disability
- Paid parental leave
- Flexible paid time off
- Enhanced employee assistance program
- Employee wellness stipend
- Professional development stipend
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