Agentic AI Developer

cisco

Bengalor 6 Years Exp Posted 18d ago

Design and develop Agentic AI solutions using LangChain, LangGraph, and modern orchestration frameworks.
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and enterprise knowledge sources.
Develop multi-agent workflows with tool calling, reasoning, and orchestration capabilities.
Integrate AI agents with enterprise applications using Model Context Protocol (MCP) and Google Agent-to-Agent (A2A) standards.
Build scalable backend services using Python and FastAPI.
Develop AI-powered applications leveraging GPT, Claude, and open-source LLMs.
Integrate data from enterprise platforms including Snowflake and other cloud data warehouses.
Deploy AI applications using Docker, Kubernetes/OpenShift, and cloud-native infrastructure.
Partner with cross-functional teams to translate business problems into scalable AI solutions.
- Drive continuous innovation through prompt engineering, automation, and AI best practices.