Storage AI Engineer
Core
Design and build production-grade AI and Generative AI solutions, including AI agents and workflow automation systems, for enterprise-scale storage applications.
Role type
Senior IC Storage AI Engineer
Builds
Scalable AI-powered products and platforms for HPE's Green Lake cloud storage solution (via careerplan.io/jobs/1215526-2-storage-ai-engineer-at-hpe)
Domain
Cloud Storage + Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Java, Go, PyTorch, Scikit-learn, LangChain, Prompt Engineering, Fine-tuning, RAG, Agentic AI, Vector Databases, Kubernetes, Docker, MLflow, CI/CD
Preferred skills
Storage Domain Skills (Block/Object/File Storage), MLOps and LLMOps platform experience
Responsibilities
Design and build production-grade AI and Generative AI solutions using large language models (LLMs); Develop AI agents, copilots, and workflow automation systems; Implement Retrieval-Augmented Generation (RAG) architectures; Fine-tune, evaluate, and optimize machine learning and foundation models; Build scalable APIs, services, and platforms to serve AI models in production environments; Establish monitoring, observability, and governance mechanisms
Seniority
Mid-Senior, hands-on IC
