About The Position

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. As a part of the Vertex Agent E2E Quality team, you will accelerate the evolution and productionization of enterprise AI Agents by building tools/platforms for evaluating, simulating and optimizing agents. You will collaborate with Google DeepMind (GDM) to advance foundational model agentic capabilities, partner with Gemini enterprise to elevate core assistant quality, and work with agent builder to drive simulation and optimization features.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • Experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Nice To Haves

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.
  • Experience with AI agent development, agent simulation and evaluation and agent quality and model tuning.

Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Build rigorous agentic benchmarks and high-fidelity Reinforcement learning (RL) environments to assess and enhance foundational model capabilities.
  • Optimize Enterprise AI Agent end-to-end quality via novel orchestration, advanced prompt/context engineering, and model tuning.
  • Engineer algorithms and features for agent simulation, evaluation, and optimization within Vertex Agent Builder (focusing on ADK and Agent Engine).
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