aimlroles

AI Engineer

NetApp netapp.com Open · verified Oct 22, 2026
Bangalore Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at NetApp. Bangalore.

Pay not stated AI Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationBangalore
PostedSep 16, 2026 · 5w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and maintain agent-based AI applications with LLMs and orchestration frameworks
  • Develop Python services for agent workflows, automation, data handling and API connections
  • Create RAG pipelines, vector search, prompt tools and memory systems for accurate AI responses
  • Test and tune AI applications, including prototypes using MCP and agent-to-agent communication
  • Work with other teams to deliver AI features, using code reviews, testing and documentation

What you bring

  • Four to eight years of relevant experience, with enterprise software and Python development
  • A bachelor's in a related technical field or equivalent work experience
  • Hands-on work with LLM APIs, agent frameworks and generative AI applications
  • Strong Python skills, including object-oriented programming and experience with the listed libraries

Who this fits

This role suits a mid-level AI engineer who has built enterprise software and generative AI solutions. It is based in Bangalore, India.

From the employer

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.