AI/ML Engineer

Job Summary NetApp's Chief Platform and Technology Office (CPTO) is seeking AI/ML Engineers to design and build cutting-edge AI/ML-powered incubation projects that drive NetApp's technology strategy and business transformation.   Job Requirements Design and build intelligent AI agents capable of reasoning, planning, tool use, and multi-step task execution. The ideal candidate brings 5–8 years of hands-on experience deploying AI/ML solutions in production, with deep expertise in AI agents, LLM integration and optimization, RAG architectures, and modern ML frameworks. Proficiency in Python is required, along with working knowledge of Go and front-end frameworks (React/Streamlit/Gradio). Architect and optimize LLM-powered systems including token optimization, cost-efficient inference, prompt engineering frameworks, and caching mechanisms. Candidates should have strong experience with vector databases, MLOps practices, containerized deployment (Docker/Kubernetes), and cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI). A solid foundation in classical ML/DL fundamentals, distributed systems, and software engineering best practices is essential. Build and scale advanced RAG pipelines with hybrid search, re-ranking, agentic retrieval, and dynamic knowledge base integration. Develop and maintain MLOps pipelines for model training, evaluation, deployment, and monitoring at scale. Fine-tune and customize foundation models for domain-specific use cases in storage, cloud infrastructure, and enterprise operations.Build large-scale, fault-tolerant, low-latency distributed systems for real-time AI inference. Contribute to POCs and incubation projects that shape NetApp's AI/ML roadmap and long-term product vision. Explore unconventional AI architectures — including multi-modal AI, edge inference, and distributed training. Collaborate cross-functionally with engineers, data scientists, and product teams from problem definition through deployment and early customer support. Stay current with the evolving AI/ML landscape and drive adoption of emerging models, frameworks, and techniques that deliver business value. Experience in the storage/cloud domain is a strong plus. We value strong communicators who are passionate about responsible AI, quality, and meeting deadlines. Education • IC - Typically requires a minimum of 5 years of related experience. • Bachelor/Master of Engineering in Computer Science, A rtificial Intelligence, Machine Learning, Data Science, or a related field or equivalent experience.