Agentic Ai - Python

Infobeans; Chennai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Infobeans is seeking a senior engineer to design, develop, deploy, and support enterprise-grade Agentic AI solutions on Google Gemini Enterprise Agent Platform (GEAP). The role focuses on building scalable AI agents, enterprise integrations, and production-ready AI services.

You will collaborate with architects, platform engineers, and business stakeholders to deliver secure, reliable, and cost-efficient AI solutions on GCP, leveraging Gemini models, GEAP, and Vertex AI.

Qualifications

• 5+ years of Python development experience for enterprise applications and AI solutions.
• Hands-on experience with Agentic AI and multi-agent orchestration patterns.
• Solid understanding of GCP, Gemini models, GEAP, Vertex AI, or Google ADK.
• Experience with APIGEE, APIs, integrations, and MCP-based connectivity.
• Strong knowledge of model selection, prompt engineering, grounding, agent evaluation, and cost monitoring.

Responsibilities

• Design & develop AI agents, workflows, and integrations using Python.
• Build integrations using APIGEE, REST APIs, & MCP-based connectivity.
• Develop solutions on GCP leveraging Gemini models, GEAP & Vertex AI.
• Implement prompt engineering, grounding, context management, RAG, & memory patterns.
• Evaluate, test, deploy, monitor & optimize agent performance.
• Analyze token consumption, model usage, scalability & operational costs.

Skills

Python development

Agentic AI & multi-agent systems

GCP & Gemini

APIGEE & APIs

Prompt engineering & cost monitoring

Tools

GEAP (Gemini Enterprise Agent Platform)

Vertex AI

Google ADK

APIGEE

Job description

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.


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