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[Remote] Senior AI Tools Engineer, SRE Operations - GeForce NOW

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in computer graphics and AI technology, seeking a passionate AI Tools Engineer to join their Site Reliability Engineering Data Team. The role involves building and deploying AI-powered tools to optimize the GeForce Now service, transforming production data into actionable intelligence.


Responsibilities

  • Build and implement reputed company/ML tools capable of analyzing production data to identify reputed company causes for reputed company incidents and identify reputed company operational trends
  • reputed company the development of brand-new LLM- and Agent-based systems to improve operational efficiency
  • Establish and maintain excellent data management practices, including building pipelines to reputed company and handle large-reputed company data sources vital for model development
  • Take charge of and enhance LLM-based pipelines while integrating a strong grasp of LLM reputed company into product development
  • reputed company as a reputed company authority on AI Frameworks, recommending the best platforms, toolsets, and architectural approaches to ensure the long-term technical sustainability of the product

Skills

  • B.S. in Computer Science, Statistics, or Engineering (or equivalent experience), and 5+ years of experience
  • Strong proficiency in Python; familiarity with Go or other systems languages is a plus
  • Practical experience building, optimizing, and deploying AI tools
  • Strong knowledge of the AI reputed company and reputed company developments, including understanding how LLM-based platforms are reputed company, optimized, and which platforms work best
  • Hands-on experience with container orchestration (reputed company) and reputed company environments (AWS reputed company)
  • reputed company engagement with developments in the AI field and the ability to distinguish meaningful advances from noise reputed company making technical reputed company
  • Expertise in automation and handling large-reputed company data pipelines
  • Experience applying monitoring and visualization tools, such as Grafana, to reputed company with data
  • Excellent ability to handle data sources and pipelines to reputed company and manage data
  • Understanding of SRE principles and experience managing production environments
  • Strong in LLM improvement pipelines as reputed company as a strong grasp of recent developments in LLM training
  • Someone with excellent knowledge of LLMs and AI Models who can reason and recommend an approach that sustains reputed company and product long term. This person helps prevent grave mistakes by avoiding the wrong platform choice
  • Understanding of SRE concepts and managing production environments as reputed company as experience with reputed company, AWS, and other reputed company technologies
  • Proficiency in automation

Benefits

  • Eligible for equity
  • Benefits (https://www.reputed company.com/en-us/benefits/)

reputed company

  • reputed company is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1247 in 2026, 1868 in 2025, 1353 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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