InfoBeans Technologies

- 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.