InfoBeans Technologies (5+)
- 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.
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