17 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain agentic AI applications using modern AI frameworks.
- Build scalable Python solutions for agent orchestration, workflow automation, data processing, API integrations, and AI applications.
- Develop and optimize RAG pipelines, vector search capabilities, prompt engineering frameworks, and memory management systems.
- Evaluate and integrate emerging generative AI technologies, including Model Context Protocol and Agent-to-Agent communication.
- Collaborate with cross-functional teams to deliver AI-powered products and features.
- Perform experimentation, testing, performance optimization, and debugging to improve scalability, reliability, and accuracy.
- Apply software engineering practices including code reviews, testing, documentation, and continuous improvement.
Requirements
- Typically requires 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.
- Strong proficiency in Python, including object-oriented programming and experience with NumPy, Pandas, FastAPI, and Streamlit.
- Experience building enterprise software applications with a strong focus on Python and generative AI technologies.
- Proven experience developing AI solutions using LLMs, agentic AI frameworks, RAG, and modern AI orchestration patterns.
- Hands-on experience with LLM APIs, agentic AI frameworks, and generative AI application development.
- Exposure to vector databases and AI tools such as FAISS, Milvus, or Hugging Face.
- Strong analytical, problem-solving, communication, and collaborative skills.
- A master's degree in computer science, artificial intelligence, machine learning, or a related field is preferred.
Tech Stack
Categories
About NetApp
NetApp builds data storage and data management software and hardware for enterprises, including ONTAP-powered all-flash arrays and hybrid cloud services that integrate with AWS, Azure, and Google Cloud. It sells systems and subscriptions that support backup, disaster recovery, databases, and container/Kubernetes workloads. Founded in 1992 and headquartered in San Jose, California, NetApp is a public company listed on NASDAQ.