Senior GenAI ML Engineer for Enterprise LLM Systems

Socket.dev; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target 15%

Equity & benefits

Job summary

Google Cloud’s Gemini Enterprise team seeks a Senior Software/ML Engineer to shape enterprise AI at scale. You will design and implement GenAI features and ensure reliability across a multi-tenant platform used by millions of enterprise users.

You will architect evaluation frameworks, optimize algorithms, and collaborate with cross-functional partners through design reviews, code reviews, and documentation updates. This role offers exposure to cutting-edge AI with impact across industries.

Qualifications

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of experience in software development with one or more programming languages.
• 2 years of experience with core GenAI technologies (LLMs, RAG, Agents) or model training/post-training.
• 1 year of experience with GenAI concepts such as language modeling or computer vision.

Responsibilities

• Lead the technical development of agentic features to transform enterprise productivity.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug, track, and resolve them by analyzing sources of issues and impact on hardware, network, or service operations.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between techniques and domains.

Skills

Software development

GenAI technologies

GenAI concepts

Python

C++

Education

Bachelor’s degree in Computer Science or related field

Job description

Google Cloud’s Gemini Enterprise team seeks a Senior Software/ML Engineer to shape enterprise AI at scale. You will design and implement GenAI features and ensure reliability across a multi-tenant platform used by millions of enterprise users.

You will architect evaluation frameworks, optimize algorithms, and collaborate with cross-functional partners through design reviews, code reviews, and documentation updates. This role offers exposure to cutting-edge AI with impact across industries.