G

Google

Runs Search and YouTube and builds Gemini AI

Forward Deployed Engineer - Generative AI, Google Cloud

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • At least 2 years of experience programming in Python for software development, or 1 year of experience with an advanced degree.
  • At least 2 years of experience with Generative AI techniques, such as large language models, multimodal models, and large vision models, or Generative AI-related concepts such as language modeling and computer vision.
  • Experience implementing DevOps and MLOps pipelines.

Responsibilities

  • Lead development of complex AI applications, taking rapid prototypes to production-grade agentic workflows, including multi-agent systems and Model Context Protocol servers, that deliver measurable return on investment.
  • Architect and code integrations between Google's AI products and customers' live infrastructure, including application programming interfaces, legacy data silos, and security perimeters.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
  • Identify repeatable field patterns and technical friction points in Google's AI stack and convert them into reusable modules or formal product feature requests for Engineering teams.
  • Co-build with customer engineering teams to establish Google's development best practices and support long-term project success and end-user adoption.
  • Build and deploy frontier AI products within customer environments, providing hands-on deployment toward enterprise-grade maturity.

Desired Qualifications

  • A Master's degree or PhD in Artificial Intelligence, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks such as LangGraph, CrewAI, or Google's Agent Development Kit, and complex patterns such as ReAct, self-reflection, and hierarchical delegation.
  • Knowledge of LLM-native metrics, including tokens per second and cost per request, and techniques for optimizing state management and granular tracing.
  • Ability to implement secure agentic workflows incorporating Model Context Protocol, tool-calling, and OAuth-based authentication.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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