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 Solid 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.

Strong knowledge of model selection, prompt engineering, grounding, agent evaluation & cost monitoring

📌 Agentic Ai - Python (Chennai)
🏢 InfoBeans
📍 Chennai