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AI Engineer

NetApp · Posted Oct 13

Hybrid cloud data services, enterprise storage, and cloud operations solutions

Bengaluru, Karnataka, IndiaFull-timeHybridSenior Level4–8 years₹25.0L–₹45.0L yearly100+ applicants
Cloud ComputingStorage DeviceDatabase SoftwareSaaSData InfrastructurePublic Company
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About the role

NetApp is a data infrastructure company whose enterprise-grade storage is natively embedded in Google Cloud, AWS, and Microsoft Azure. The AI and Automation team builds next-generation Agentic AI applications using Large Language Models, Retrieval-Augmented Generation, and modern orchestration frameworks. This role covers the design, development, and deployment of scalable Python-based AI solutions, including RAG pipelines, agent orchestration, and evaluation of emerging Generative AI technologies.

What you will do

  • 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.

Skills used in this role

PythonLangGraphLangChainGoogle ADKPhoenixGuardrailsMem0RAGLLMVector DatabasesSemantic SearchMCPA2ANumPyPandasFastAPIStreamlitFAISSMilvusHugging FacePrompt EngineeringGenerative AIAgentic AIProblem SolvingCommunication

What the employer is looking for

  • 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.
  • 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.

Preferred qualifications

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

Benefits and support

  • Compensation and benefits are detailed in the job posting

About NetApp

NetApp, Inc. is an American data infrastructure and data management company that provides unified data storage, integrated data services, and hybrid multi-cloud operations solutions to enterprise customers. Founded in 1992, the company empowers global enterprises to manage applications and data seamlessly across on-premises environments and major public clouds. NetApp specializes in intelligent data infrastructure, cyber resilience, and AI-driven data optimization.

Industry
Cloud Computing
Company size
11700 employees
Founded
1992
Location
San Jose, California, USA
Funding stage
Public Company

Funding

Public Company

Sequoia Capital

Leadership

GK
George Kurian

Chief Executive Officer

WJ
Wissam Jabre

Executive Vice President and Chief Financial Officer

SN
Syam Nair

Executive Vice President and Chief Product Officer

CC
MB
Mark Bregman

Chief Technology Officer