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 Deep Mind'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.

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.