Description
We are seeking a Storage AI Engineer to join our Hybrid Cloud team. As a Storage AI Engineer, you will design and build production-grade AI and Generative AI solutions using large language models (LLMs). You will develop AI agents, copilots, and workflow automation systems that improve user productivity and business outcomes.
Key responsibilities include:
- Designing and building production-grade AI and Generative AI solutions using large language models (LLMs)
- Developing AI agents, copilots, and workflow automation systems that improve user productivity and business outcomes
- Implementing Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources
- Fine-tuning, evaluating, and optimizing machine learning and foundation models for accuracy, performance, safety, and cost
- Building scalable APIs, services, and platforms to serve AI models in production environments
- Establishing monitoring, observability, and governance mechanisms to ensure responsible AI deployment
Requirements:
- Bachelor's or master's degree in computer science, engineering, or a closely related quantitative discipline
- Typically, 3-5 years' experience
- Strong technical expertise in machine learning, generative AI, software engineering, and cloud technologies
We offer a comprehensive suite of benefits that support physical, financial, and emotional wellbeing, as well as opportunities for personal and professional development.