Nvidia Senior AI Engineer Agents Developer Workflows 

United States, California 

414152890

What you’ll be doing:

• Develop and implement solutions throughout software development lifecycles to improve developer efficiency, accelerate feedback loops, and boost release reliability

• Experience designing, developing, and deploying AI agents to automate software development workflows and processes.

• Continuously measure and report on the impact of AI interventions, showing progress in metrics such as cycle time, change failure rate, and mean time to recovery (MTTR).

• Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.

• Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.

What we need to see:

• BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.

• Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), and Agent development

• Strong background in implementing AI solutions to solve real-world software engineering problems.

• Hands-on experience on Python/Java/Go with extensive python scripting experience.

• Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

• Full-stack, end-to-end development expertise, with proficiency in building and integrating solutions from the front-end (e.g., React, Angular) to the back-end (Python, Go, Java) and managing data infrastructure (SQL/NoSQL).

• Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.

• Good understanding of distributed systems, understanding of microservice architecture and REST APIs.

• Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.

Ways to stand out from the crowd:

• Proven expertise in applied AI, particularly using Retrieval-Augmented Generation (RAG) and fine-tuning LLMs on enterprise data to solve complex software engineering challenges.

• Experience delivering large-scale, service-oriented software projects under real-time constraints, demonstrating an understanding of the complex development environments this role will optimize.

• Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation(RAG) and fine-tuning LLMs on enterprise data.