Skip to content
AI Engineer Jobs
NetApp, Inc.

AI Engineer

NetApp, Inc.

Location
Onsite (Bangalore, Karnataka)
Employment
Full-time
Level
Senior Level
Posted 1 day ago

About the Role

NetApp is seeking an AI Engineer to design, develop, and deploy next-generation Agentic AI applications using LLMs and RAG. This role focuses on building scalable, innovative AI solutions that address real-world business challenges within the AI and Automation team.

Skills

Python Agentic AI Large Language Models Retrieval-Augmented Generation LangChain LangGraph Vector Databases Prompt Engineering Orchestration Frameworks FastAPI Streamlit NumPy Pandas Software Engineering API Integration Data Processing

Full job details

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.