MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Python.
- 3 years of experience with ML infrastructure (e.g., model deployment, model
evaluation, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products,
and 1 year of experience with software design and architecture.
- 1 year of experience with state of the art Generative AI techniques (e.g.,
LLMs, Multi-Modal, Large Vision Models) or with Generative AI-related
concepts (language modeling, computer vision).
PREFERRED QUALIFICATIONS:
- 5 years of experience with data structures/algorithms.
- Experience in solving customer problems by navigating ambiguous requirements
to deliver effective technical solutions and tangible business outcomes.
- Experience in prompt developing, model evaluation, and the creative
application of Artificial Intelligence (AI).
- Experience in Vertex AI, BigQuery, Cloud Storage, Dialogflow.
- Ability to be flexibile and resilient in dynamic environments where
priorities often shift and to take ownership and respond to urgent business
or customer issues.
ABOUT THE JOB:
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 software 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
software 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.
Work with enterprise customers to build and develop multi-modal Artificial
Intelligence (AI) agents to augment their contact center and improve their end
consumer experiences. As a Forward Deployed Developer, you will be at the
forefront of applying Google's exceptional Generative AI to solve real-world
issues for our most customers. You will act as a specialized software developing
embedded with key accounts, working to build, deploy, and optimize sophisticated
AI agents on our Commerce Enabling Services (CES) platform. You will bridge the
gap between our core product developing teams and customer needs, directly
accelerating customer success and shaping the future of our AI products.
Google Cloud accelerates every organization’s ability to digitally transform its
business and industry. We deliver enterprise-grade solutions that leverage
Google’s cutting-edge technology, and tools that help developers build more
sustainably. Customers in more than 200 countries and territories turn to Google
Cloud as their trusted partner to enable growth and solve their most critical
business problems.
RESPONSIBILITIES:
- Partner directly with select customers to understand their business issues.
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 contribute directly to the core product codebase to
resolve critical customer issues.
- Systematize the 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 Developing teams.
Synthesize firsthand insights from the field to influence product strategy,
identify feature gaps, and ensure our roadmap is aligned with real-world
customer needs.
- Provide technical guidance to customers on agent improvement, performance
tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and
production readiness.
