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Company Site

Software Engineer

NetApp
Bengaluru, IND
Full-time
Mid · 2+ years experience
Hybrid
Discovered Today
PythonReactStreamlitGradioDockerKubernetes

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Job Summary

NetApp's Chief Platform and Technology Office (CPTO) is hiring AI/ML Engineers to design and build incubation projects that shape NetApp's technology strategy. You will take AI agents, LLM-powered systems, and RAG pipelines from prototype to production. You will also build the React front ends and Python services that put them in users' hands.You bring 2-5 years of hands-on experience deploying AI/ML solutions in production. You have deep expertise in AI agents, LLM integration and optimization, RAG architectures, and modern ML frameworks. You are fluent in Python and comfortable building user-facing applications in React, with Streamlit or Gradio for fast prototypes. Go is a useful addition. Experience in the storage or cloud domain is a strong plus.We value clear communicators who care about responsible AI, quality, and meeting deadlines.

Job Requirements

  • Build AI agents that reason, plan, use tools, and execute multi-step tasks.
  • Optimize LLM-powered systems, including token optimization, cost-efficient inference, prompt engineering frameworks, and caching.
  • Build and scale advanced RAG pipelines with hybrid search, re-ranking, agentic retrieval, and dynamic knowledge base integration.
  • Fine-tune and customize foundation models for domain-specific use cases in storage, cloud infrastructure, and enterprise operations.
  • Develop and maintain MLOps pipelines for model training, evaluation, deployment, and monitoring at scale.
  • Build React front ends for AI products, such as chat and agent interfaces, streaming responses, and dashboards that show agent reasoning, retrieval sources, and evaluation results.
  • Develop Python back-end services and APIs that connect the UI to agents, retrieval layers, and model endpoints, and use Streamlit or Gradio to turn ideas into working demos quickly.
  • Package and ship full stack applications with Docker and Kubernetes, supported by CI/CD, observability, and automated tests.
  • Build fault-tolerant, low-latency distributed systems for real-time AI inference, and explore multi-modal AI, edge inference, and distributed training.
  • Contribute to POCs and incubation projects that shape NetApp's AI/ML roadmap, working with engineers, data scientists, and product teams from problem definition through deployment and early customer support.

Education

  • 2-5 years of experience deploying AI/ML solutions in production.
  • Strong Python skills, including building APIs and back-end services.
  • Working experience with React and PythonHands-on experience with AI agents, LLM integration, prompt engineering, and RAG architectures.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, or equivalent experience.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

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