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Senior AI Engineer – AI Product

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2017Company Site LinkedIn

Location

United States

Posted

19 days ago

Salary

$200K - $250K / year

Bachelor Degree5 yrs expEnglishElastic SearchJava ScriptMy SQLPythonType Script

Job Description

• 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.

Job 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.