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 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- 8years of related experience.
• Bachelors 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 Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field is a plus.