AI Engineer
netapp
Job Description
- 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.