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Build and maintain high-throughput platform services that execute automated evaluation and benchmarking for generative AI search models. Design systems to detect metric drift, optimize evaluation throughput, and scale LLM-assisted rating workflows while improving compute efficiency. Requires five years of software development experience, three years with embedded operating systems, three years testing or launching software products, and one year of software design and architecture experience.

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Job Description

  • Architect, build, and maintain high-throughput, low-latency platform services and orchestration pipelines that execute automated evaluation, benchmark suites, and metric computations for Generative Artificial Intelligence (GenAI) Search experiences.
  • Design robust evaluation systems to detect metric drift, optimize evaluation throughput, and scale model-assisted rating (e.g., LLM-as-a-judge/Autorater) workflows while maintaining compute efficiency.
  • Drive the modernization and consolidation of fragmented, bespoke evaluation pipelines into a unified core platform, identifying capability gaps and creating reusable, extensible frameworks.
  • Optimize system throughput, execution turnaround times, and resource efficiency for continuous, high-volume evaluation workloads supporting production-critical Search models.
  • Integrate modern AI tooling, automated validation harnesses, and AI-assisted workflows into daily engineering practices to boost developer velocity, evaluation excellence, and system robustness.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience working with embedded operating systems.
  • 3 years of experience testing, maintaining, or launching software products.
  • 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience working with embedded operating systems.
  • 3 years of experience testing, maintaining, or launching software products.
  • 1 year of experience with software design and architecture.
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  • Role Senior Software Engineer, Search Platforms, LLM Evaluation Infrastructure
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location India
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

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Job Overview
Eligibility
India Right to work in India required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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