Senior Software Engineer, Generative AI, Gemini Enterprise Quality
Company: Google
Location: Sunnyvale
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 5 years of experience with software
development in one or more programming languages. 2 years of
experience working with core Gen AI technologies (LLM, RAG, Agents)
or model training/post-training. 1 year of experience with GenAI
techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with
GenAI-related concepts (language modeling, computer vision).
Preferred qualifications: Master's degree or PhD in Computer
Science or related technical field. 5 years of experience with data
structures and algorithms. 3 years of experience working in a
complex, matrixed organization involving cross-functional, or
cross-business projects. 1 year of experience in technical design,
code contributions, and technical leadership. Experience in
production grade LLM-based applications. About the job Google's
software engineers develop the next-generation technologies that
change how billions of users connect, explore, and interact with
information and one another. Our products need to handle
information at massive scale, and extend well beyond web search.
We're looking for engineers who bring fresh ideas from all areas,
including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial
intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer,
you will work on a specific project critical to Google’s needs with
opportunities to switch teams and projects as you and our
fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take
on new problems across the full-stack as we continue to push
technology forward. Gemini Enterprise makes employees productive
with a single prompt, it helps them accomplish complex tasks that
require planning, research, content generation, and actions. GE is
the single destination for enterprise search, assistant, and agents
in the enterprise. GE enables users (employees at enterprises) to
search and find answers across various internal systems with access
controls, summarize information, generate new content, take actions
in these systems, build and use agents, all grounded on enterprise
data with the additional option of grounding with Google Search,
and with cloud-grade privacy, security, compliance. GE is also the
one-stop destination for users to discover, build, and interact
with agents in the enterprise with support for Google first-party
agents, customer-built agents on Vertex and other frameworks, and
partner-agents from the Cloud Marketplace. It's an exciting time to
join Google Cloud’s Go-To-Market team, leading the AI revolution
for businesses worldwide. You’ll excel by leveraging Google's brand
credibility—a legacy built on inventing foundational technologies
and proven at scale. We’ll provide you with the world's most
advanced AI portfolio, including frontier Gemini models, and the
complete Vertex AI platform, helping you to solve business
problems. We’re a collaborative culture providing direct access to
DeepMind's engineering and research minds, empowering you to solve
customer challenges. Join us to be the catalyst for our mission,
drive customer success, and define the new cloud era—the market is
yours. The US base salary range for this full-time position is
$174,000-$252,000 bonus equity benefits. Our salary ranges are
determined by role, level, and location. Within the range,
individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Lead technical developments of prototyping,
evaluating and improving LLM agentic features to achieve
challenging and important tasks for enterprises GenAI
customers(e.g., multimodal artifact generation (slides, docs,
videos), reasoning with and manipulating spreadsheets, working in a
project setting with shared team files and context, etc). Engage
with Google Cloud customers to figure out the best way to apply our
product to solve their problems and address their needs. Work with
the infrastructure team and front-end team to turn the prototypes
into product features used by Google Cloud customers. Collaborate
with other engineers from Cloud and Research to deliver
State-of-the-Art in Gen AI development to Cloud customers.
Keywords: Google, San Jose , Senior Software Engineer, Generative AI, Gemini Enterprise Quality, IT / Software / Systems , Sunnyvale, California
