Software Engineer - AI Platforms (GenAI & Agentic Systems)

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.

Apply 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.