The Artificial General Intelligence (AGI) team at Amazon is seeking passionate and talented engineers to contribute to the development and maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). This role focuses on supporting and enhancing the infrastructure that powers these cutting-edge AI systems. You'll be working with Amazon's hyper-scalable, general-purpose large model training and inference systems to develop and deploy state-of-the-art sensory AI foundational models.
The position combines DevOps expertise with AI infrastructure management, requiring strong skills in automation, system administration, and modern programming languages. You'll be responsible for ensuring the smooth operation of LLM infrastructure, implementing automation solutions, and driving operational excellence.
The role offers diverse opportunities for growth and specialization. Whether you excel in deep technical mastery, multi-tasking under pressure, process improvement, or focused coding, there's a place for your talents. You'll work alongside peers and senior leaders to define and improve operational standards across systems.
The ideal candidate will have experience with distributed systems, strong programming skills in languages like Python, Ruby, or Java, and expertise in AWS services and Kubernetes. This is an opportunity to be part of Amazon's innovative AGI team while adhering to their principle of "Work Hard. Have Fun. Make History."
The position offers the chance to work on cutting-edge AI technology while developing expertise in large-scale distributed systems and cloud infrastructure. You'll be part of a team that's pushing the boundaries of what's possible in artificial intelligence while maintaining robust and scalable systems.