Google Agentspace Developer

About the role

We are looking for an experienced Google Agentspace Developer to design, build, deploy, and maintain enterprise‑grade AI agents on Google Cloud’s Agentspace ecosystem. The role focuses on creating intelligent agent solutions, integrating conversational AI, connecting enterprise data sources, and delivering secure, scalable architectures for business automation and knowledge retrieval.

Key responsibilities

• Design, build, and configure intelligent agents using Google Agentspace and related Google Cloud AI services.
• Create and manage agent configurations, data stores, tools, actions, and workflows.
• Test, validate, and optimize agent performance in development environments.
• Integrate conversational AI capabilities, design conversation flows, intents, and session management.
• Connect agents to enterprise data repositories, implement retrieval‑augmented generation and grounding mechanisms.
• Develop custom tools, actions, and API integrations to extend agent functionality.
• Deploy, publish, and maintain production‑ready agents, handling version control and release management.
• Leverage Google Cloud AI services and models to enhance agent capabilities.

Required profile

• Hands‑on experience building and deploying agents within Google Agentspace.
• Strong understanding of AI‑powered workflows, retrieval‑augmented generation patterns, and API integrations.
• Experience with Google Cloud AI services and enterprise‑grade deployment practices.
• Ability to design scalable, secure, and performant agent architectures.

Required skills

• Google Cloud Platform
• Google Agentspace
• AI services (e.g., Vertex AI)
• Retrieval‑Augmented Generation (RAG)
• API integration and function calling
• Conversational AI frameworks
• Cloud storage platforms
• Databases (SQL/NoSQL)
• Webhooks and endpoint configuration
• Version control systems
• Deployment and release management