4 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Build AI agents capable of reasoning, planning, tool use, and multi-step task execution.
- Optimize LLM systems through token optimization, cost-efficient inference, prompt engineering, and caching.
- Build and scale RAG pipelines with hybrid search, re-ranking, agentic retrieval, and dynamic knowledge integration.
- Fine-tune foundation models for storage, cloud infrastructure, and enterprise operations use cases.
- Develop MLOps pipelines for model training, evaluation, deployment, and monitoring.
- Build React interfaces and Python services for AI products, including chat, agent, streaming, dashboard, and API experiences.
- Package and deploy full-stack applications with Docker and Kubernetes, supported by observability and automated tests.
- Develop low-latency distributed systems for real-time AI inference and explore multimodal AI, edge inference, and distributed training.
- Contribute to incubation projects and proof-of-concepts with engineering, data science, and product teams through deployment and early customer support.
Requirements
- 2-5 years of hands-on experience deploying AI/ML solutions in production.
- Strong Python skills for building APIs and back-end services.
- Working experience with React and Python.
- Hands-on experience with AI agents, LLM integration, prompt engineering, and RAG architectures.
- Experience with modern ML frameworks, MLOps, and production AI/ML systems.
- A bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, or equivalent experience.
- Storage or cloud-domain experience is strongly preferred.
- Clear communication and attention to responsible AI, quality, and deadlines are valued.
Tech Stack
Categories
About NetApp
NetApp builds data storage and data management software and hardware for enterprises, including ONTAP-powered all-flash arrays and hybrid cloud services that integrate with AWS, Azure, and Google Cloud. It sells systems and subscriptions that support backup, disaster recovery, databases, and container/Kubernetes workloads. Founded in 1992 and headquartered in San Jose, California, NetApp is a public company listed on NASDAQ.