Role & responsibilities Design, develop, deploy & support enterprise-grade Agentic AI solutions on Google Gemini Enterprise Agent Platform (GEAP). The role focuses on building scalable AI agents, enterprise integrations, & production-ready AI services. You will work closely with architects, platform engineers & business stakeholders to deliver secure, reliable, & cost-effective AI solutions. Responsibilities Design & develop AI agents, workflows, and integrations using Python. Build integrations using APIGEE, REST APIs, & MCP Develop solutions on GCP leveraging Gemini models, GEAP & Google AI services. Implement prompt engineering, grounding, context management, RAG, & memory patterns. Evaluate, test, deploy, monitor & optimize agent performance. Analyze token consumption,



model usage, scalability &operational; costs. Qualifications 5 + years Strong Python development experience for enterprise applications & AI solutions. Hands-on experience with Agentic AI, multi-agent systems &orchestration; patterns. Solid understanding of GCP, Gemini models, GEAP(Gemini Enterprise Agent Platform), Vertex AI, or Google ADK. Experience with APIGEE, APIs, integrations, &MCP-based; connectivity. Solid knowledge of model selection, prompt engineering, grounding, agent evaluation & cost monitoring

📌 Agentic Ai (Chennai)
🏢 InfoBeans
📍 Chennai