Senior GenAI Software Engineer - LLMs & Search Infra

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google Mountain View seeks a Senior Software Engineer focused on GenAI to advance information retrieval and AI-enabled search infrastructure. You will own critical components, design scalable systems, and drive collaboration across engineering, product, and research teams.

You will contribute to state-of-the-art GenAI initiatives, tackle data-quality challenges, and influence cross-functional projects with a strong emphasis on reliability and performance. In-person interviews are common.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Java and C++.
• 1 year of experience with state of the art GenAI techniques or GenAI concepts.
• Experience in data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
• Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods.

Responsibilities

• Build and maintain robust, scalable software systems and information retrieval infrastructure on top of LLMs.
• Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
• Thrive in ambiguity and navigate a fast-paced environment during the initiative’s early stages.
• Collaborate with cross-functional teams across Google (eng, product, research) on related projects.
• Uphold high standards for code quality, reliability, and engineering best practices.

Skills

Java

C++

GenAI

Information retrieval

Large-scale data analysis

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Tools

Flume

Job description

Google Mountain View seeks a Senior Software Engineer focused on GenAI to advance information retrieval and AI-enabled search infrastructure. You will own critical components, design scalable systems, and drive collaboration across engineering, product, and research teams.

You will contribute to state-of-the-art GenAI initiatives, tackle data-quality challenges, and influence cross-functional projects with a strong emphasis on reliability and performance. In-person interviews are common.