Agentic AI Engineer
CUBE Global(2 months ago)
About this role
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.
Required Skills
- LLM Engineering
- Python
- Backend Engineering
- Data Systems
- LLM-Based Applications
- LLM Orchestration
- Prompt Engineering
- RAG
- Tool-Use Frameworks
- NLP Methods
+10 more
About CUBE Global
www.cube.globalCUBE 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.