CUBE Global
An Agentic AI Engineer at CUBE is responsible for designing and implementing advanced agentic AI systems that utilize large language models (LLMs) to autonomously reason, act, and learn. This role requires a strong background in software or LLM engineering, an understanding of backend systems, and a track record of deploying LLM-based applications in production. Collaborating closely with a high-performance team, the engineer will focus on transforming cutting-edge AI and NLP research into scalable solutions within the regulatory compliance domain, utilizing technologies such as Python, Typescript, and various cloud platforms.
Headquarters
London, England, United Kingdom
Company Size
201-500 employees
Founded
2011
CUBE is a leading provider of automated regulatory intelligence solutions, aimed at enhancing compliance within the financial services sector. The company's innovative platforms leverage AI technology to track and report on global regulations, management of obligations, and risk assessment, helping enterprises navigate the complexities of regulatory change. With a robust global presence and a growing client base, CUBE offers tailored solutions that empower organizations to transform compliance from a reactive necessity into a strategic advantage.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for CUBE Global.
CUBE Global didn’t post a salary, so this is our estimate from similar listings.
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May 16, 2024