Google Cloud AI / Gemini Specialist

A senior AI engineer who builds AI applications on Google Cloud using Gemini models. They should have deployed real projects to production (not just experiments), understand Google's AI tools, and be able to work with enterprise clients.

• 5+ years Python software engineering overall
• 2+ years working with AI/ML
• Experience building and deploying AI apps with Gemini on Google Cloud: 1–2 production projects with specific examples (e.g., chatbots or automations); experiments without deployment are insufficient.
• Familiarity with Google ADK (Agent Development Kit): Hands-on building or studying agents, including multi-agent systems or Google Cloud integrations.
• Work with Vertex AI Search and RAG systems on Google Cloud: Built search or Retrieval-Augmented Generation solutions, describable in detail (e.g., vector DB integration, semantic search optimization).
• Recent Google Cloud AI project: Latest work using Gemini 2.5 (or similar) within the last 6–12 months;