The client is seeking an experienced AI Developer to design, develop, deploy, and support enterprise-grade Agentic AI solutions on the Google Gemini Enterprise Agent Platform (GEAP). In this role, you will focus on building scalable AI agents, enterprise integrations, and production-ready AI services while collaborating closely with architects, platform engineers, and business stakeholders to deliver secure, reliable, and cost-effective solutions.

What will your role look like

- Design and develop scalable AI agents, workflows, and enterprise integrations using Python.
- Build seamless platform integrations using APIGEE, REST APIs, and Model Context Protocol (MCP).
- Develop cloud-native solutions on GCP leveraging Gemini models, GEAP, and Google AI services.
- Implement key AI patterns including prompt engineering, grounding, context management, RAG, and memory frameworks.
- Evaluate, test, deploy, monitor, and continuously optimize AI agent performance.
- Analyze token consumption, model usage, scalability, and operational costs to maintain efficient delivery.

Why you will love this role
- Work on cutting-edge Agentic AI solutions and multi-agent systems using industry-leading platform tools.




- Collaborate with cross-functional teams of architects, platform engineers, and key business stakeholders.
- Drive impact by delivering enterprise-ready, production-grade AI technologies at scale.
- Thrive in a collaborative, innovative culture focused on technical excellence and career growth.

We would like you to bring along
- 5+ years of robust Python development experience for enterprise applications and AI solutions.
- Hands-on experience with Agentic AI, multi-agent architecture, and orchestration patterns.
- Solid understanding of GCP, Gemini models, GEAP, Vertex AI, or Google ADK.
- Demonstrated experience with APIGEE, RESTful APIs, integrations, and MCP-based connectivity.
- Strong working knowledge of model selection, prompt engineering, grounding, agent evaluation, and cost monitoring.
- Familiarity with software engineering best practices including Git, CI/CD pipelines, testing, debugging, and secure development principles.

Skills PythonAgentic AIGoogle Gemini Enterprise Agent Platform (GEAP)GCPAPIGEEREST APIsModel Context Protocol (MCP)Prompt EngineeringRAGVertex AI

Good to have

APIGEEMCPGEAP

📌 Agentic AI Developer (Chennai Metropolitan Area)
🏢 VectorMatch
📍 Chennai Metropolitan Area