Title:  AI Engineer

Job Summary

As an AI Engineer in the Digital Content Science organization, you harness AI technology to deliver scalable enterprise solutions for NetApp's global content ecosystem. You are expected to devise applications of AI capabilities to solve content problems. You collaborate with our DevOps team to design, implement, and test new solutions. You make technical recommendations and develop solutions that help NetApp customers solve their business challenges.

Job Requirements

Knowledge and Technical Skills

• Proven experience integrating genAI capabilities into business applications, including accessing functions, prompt engineering, token management, and error handling.
• Proven experience with Retrieval Augmented Generation (RAG) applications, including chat interfaces, evaluation, and optimization.
• Proven experience in at least one major programming language such as Node.js, Ruby, or Python.
• Proven experience in data structures, algorithms, and operating on large data sets.
• Experience with AI connectivity protocols including Model Context Protocol (MCP) and Agent 2 Agent (A2A).
• Experience with REST APIs and integrating cloud services and platform technologies such as Google Cloud (GCP), Azure, or AWS.
• Experience with Git, GitHub, and CI/CD toolchains such as GitHub Actions.
• Experience with Generative AI design principles and integration techniques.
• Experience with regular expressions and parsing strategies on structured and unstructured data.
• Experience with test and verification practices and technologies.
• Familiarity with documentation languages and static site generators such as Jekyll, Gatsby, AsciiDoctor, or Markdown.

Job Requirements

• Ability to clearly communicate and collaborate across project lifecycle with team members to understand requirements, research and recommend best practices, implement, and be accountable for the verification process.
• Ability to independently and efficiently learn and demonstrate new skills such as context engineering, programming languages, or technologies through assigned deliverables.
• Ability to integrate internal technologies to increase automation of the enterprise publishing system (including ingestion of content from diverse sources such as software builds and message repositories), and transformation into other formats for deployment into customer-facing websites.
• Ability to design and integrate an AI system composed of both structured and unstructured data sources into product interfaces, business applications, or automation processes to intelligently retrieve and generate content at scale.  
• Build and support solutions to automate content quality checking and reporting.
• Participate in the development and review of business requirements, as well as identify and recommend system solutions to business requirements.

Education

• Minimum of 3 years of data analysis or data engineering work.
• Degree in Information Science, Computer Science, Computational Linguistics, or a related field.