Staff Applied AI Agent Developer

Google LLC
Sunnyvale, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 221K

Job location

Sunnyvale, United States of America

Tech stack

Artificial Intelligence
Google BigQuery
Bioinformatics
Cloud Computing
Cloud Storage
Continuous Integration
Data Structures
Software Debugging
Distributed Systems
Design of User Interfaces
Push Technology
Information Retrieval
Natural Language Processing
Performance Tuning
Software Architecture
Systems Architecture
Reinforcement Learning
Data Storage Technologies
Large Language Models
Model Validation
Generative AI
Information Technology
Search Engines
Machine Learning Operations
Virtual Agents

Job description

Google's software developers 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 developers 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 developer, 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 developers 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.

As a Staff Applied AI Agent Developer, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software developer embedded with key accounts, working direct to build, deploy, and optimize sophisticated AI agents on our platform. This is a high-impact role that bridges the gap between our core product development teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment., + Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.

  • Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.

  • Systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.

  • Serve as a critical feedback loop to our core Product and Development teams. Synthesize insights from the field to influence product strategy, identify feature gaps.

  • Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Requirements

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., + Bachelor's degree or equivalent practical experience.

  • 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

  • 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

  • Experience with core GenAI concepts (e.g., Large Language Model (LLM), multi-modal, large vision models) and experience with text, image, video, or audio generation.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.

  • 8 years of experience with data structures and algorithms.

  • Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.

  • Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).

  • Ability to be flexible and resilient in dynamic environments where priorities often shift and to take ownership and respond to urgent business or customer issues.

Benefits & conditions

The Canada base salary range for this full-time position is CAD 216,000-221,000 + 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., The US base salary range for this full-time position is $207,000-$300,000 + 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.

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