We are seeking a highly motivated Google Cloud Generative AI Engineer with 4-5 years of experience in designing, developing, and deploying AI-powered applications on Google Cloud Platform (GCP). The ideal candidate will have hands-on expertise in Google Agent Development Kit (ADK), Vertex AI, Gemini models, LLM integration, RAG architectures, and cloud-native application development. This role involves building scalable AI solutions, intelligent agents, and enterprise-grade GenAI applications that drive business innovation.

Key Responsibilities
- Build and implement Generative AI applications leveraging Vertex AI, Gemini models, Agent Builder, and other Google AI services.
- Design, develop, and deploy AI agents and multi-agent systems using Google Agent Development Kit (ADK).
- Integrate AI agents with enterprise applications, APIs, databases, and third-party systems.
- Develop orchestration workflows for autonomous, conversational, and task-driven AI agents.
- Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.




- Collaborate with business stakeholders, architects, and product teams to gather requirements and translate them into scalable AI solutions.
- Optimize prompts, agent behavior, context management, and model performance to improve business outcomes.
- Ensure adherence to security, compliance, governance, and responsible AI practices.
- Monitor, troubleshoot, and enhance production AI applications for performance, reliability, and scalability.
- Participate in architecture reviews and recommend best practices for AI/ML and cloud-native solutions.
- Contribute to CI/CD pipelines, automation, and infrastructure deployment for AI workloads on GCP.
- Stay current with emerging GenAI technologies, frameworks, and Google Cloud innovations.

Requirements
- 4- 8 years of experience in software engineering, cloud application development, or AI/ML solutions.
- Hands-on experience with Google Cloud Platform

📌 Google Cloud Generative AI Engineer (Pune)
🏢 Capgemini
📍 Pune