Storage AI Specialist
Core
Design and build production-grade AI and Generative AI solutions, including AI agents, copilots, and workflow automation systems using large language models (LLMs) and RAG architectures.
Role type
Senior IC Generative AI Engineer (LLMs, RAG, Agentic AI)
Builds
Production AI agents, copilots, workflow automation systems, and scalable APIs serving AI models
Domain
Cloud infrastructure, Generative AI, Enterprise data platforms
Deliverable
production ML models
Required skills
Python, SQL, Java, Go, PyTorch, Scikit-learn, LangChain, Prompt Engineering, Fine-tuning, RAG, Vector Databases, Kubernetes, Docker, MLflow, CI/CD
Preferred skills
Storage Domain Skills (Block/Object/File Storage), LLMOps platform experience, GPU orchestration, model optimization, inference scaling
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 for responsible AI deployment
Seniority
Senior, hands-on IC
