AI Software Engineer

NVIDIA•Us, CA

About The Position

We are seeking an AI Engineer to design and build intelligent systems that transform how we do customer support. Our organization processes large amounts of data from various sources, such as customers, end users, and web and social media platforms. This role focuses on using Generative AI, large language models (LLMs), and RAG-based systems to transform fragmented data into actionable insights. It also automates reporting and allows teams to engage with data in completely new ways. One project within this role includes modernizing our localization workflows using AI, but the main focus is developing scalable tools that boost efficiency, increase visibility, and support decision-making across the organization.

Requirements

BS or MS in Computer Science, Artificial Intelligence, or equivalent experience
8+ years of experience in Machine Learning, Natural Language Processing, or related AI domains
Deep understanding of large language models (LLMs) and strong experience crafting and implementing RAG-based workflows
Strong programming skills with extensive experience in Python
Experience building production-grade AI systems, APIs, or data pipelines
Experience working with large, complex datasets and building analytical or reporting systems
Strong problem-solving skills, performance analysis experience, and debugging expertise
Solid foundation in algorithms and mathematical principles
Experience with source control tools such as Git or Perforce
Ability to work independently and collaboratively across teams

Nice To Haves

Experience building analytics platforms or internal tools for data exploration using advanced technologies
Experience applying AI to customer support, bug tracking, or large-scale feedback systems
Familiarity with knowledge retrieval systems, embeddings, and semantic search
Experience with real-time or near-real-time data processing pipelines
Background in localization, translation systems, or multilingual AI workflows

Responsibilities

Build and develop AI-powered tools that improve workflow efficiency, data analysis, and decision-making across customer support
Build systems that ingest and unify data from multiple sources (internal databases, forums, social media, internal tools)
Develop LLM- and RAG-based solutions that allow users to query systems in natural language and retrieve detailed, contextual insights
Build automated reporting and metrics generation tools tailored to different collaborators (engineering, QA, program management, customers, support teams)
Enable personalized, role-based data access—allowing individuals and teams to easily retrieve the information most relevant to them
Identify patterns, trends, and root causes from internal systems using advanced analytical methods
Lead the development of AI-assisted localization pipelines to improve translation speed and scalability and targeted human translation
Research, evaluate, and implement emerging AI technologies to continuously improve internal systems
Provide technical leadership and guidelines for AI-based system build and deployment