Software Engineer - AI Platforms (GenAI & Agentic Systems)

Overview

At NetApp, we have a history of helping customers turn challenges into business opportunities. That’s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you’ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You’ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure - delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that drive results, innovate to elevate, and excel together across every function.

Job Summary

NetApp is seeking a highly motivated and innovative AI Engineer to join our growing AI and Automation team. In this role, you will contribute to the design, development, and deployment of next-generation Agentic AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern orchestration frameworks. You will collaborate with cross-functional teams to build scalable AI solutions that solve real-world business challenges while driving innovation across the organization.

Job Requirements

Design, develop, and maintain Agentic AI applications using modern AI frameworks such as LangGraph, LangChain, Google ADK, Phoenix, Guardrails, Mem0, and related technologies.

Develop scalable Python-based solutions for agent orchestration, workflow automation, data processing, API integrations, and AI-driven applications.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, prompt engineering frameworks, and memory management systems.

Leverage Large Language Models (LLMs), vector databases, and semantic search technologies to deliver robust and accurate AI solutions.

Evaluate, prototype, and integrate emerging AI technologies, including Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and related advancements in the Generative AI ecosystem.

Collaborate with cross-functional teams to design, develop, and deliver innovative AI-powered products and features.

Perform experimentation, testing, performance optimization, and debugging of AI applications to ensure scalability, reliability, and accuracy.

software engineering best practices, including code reviews, testing, documentation, and continuous improvement.

Demonstrate strong proficiency in Python, including object-oriented programming and experience with libraries and frameworks such as NumPy, Pandas, FastAPI, and Streamlit.

Possess hands-on experience working with LLM APIs, Agentic AI frameworks, and Generative AI application development.

Have exposure to vector databases and AI tools such as FAISS, Milvus, Hugging Face, or similar technologies.

Exhibit strong analytical, problem-solving, and communication skills with the ability to work effectively in a fast-paced, collaborative environment.

Education

Typically requires a minimum of 4- 8 years of related experience.

Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Information Technology, or a related technical field; or equivalent work experience.

Experience building enterprise software applications with a strong focus on Python development and Generative AI technologies.

Proven experience developing AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and modern AI orchestration patterns.

A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is a plus.

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.

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. 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.

Our values

Put the customer at the center. Care for each other and our communities. Think and act like owners. Build belonging every day. Embrace a growth mindset.

Benefits

Volunteer time off

40 hours of paid volunteer time each year.

Well-being

Employee Assistance Program, fitness, and mental health resources to help employees be their best.

Time away

Paid time off for vacation and to recharge.