Description

You will build and maintain agentic AI systems, multi-agent architectures, and LLM-driven pipelines.

This role is on-site.

Responsibilities

• Design and implement multi-agent systems using Agentic AI frameworks like LangChain, LangGraph, AutoGen, CrewAI, and Semantic Kernel.
• Develop Model Context Protocol (MCP) integrations and A2A communication layers for autonomous agents.
• Build and optimize Python-based ETL pipelines for data ingestion and processing.
• Implement AIOps solutions and automate workflows using n8n.
• Deploy and manage Large Language Models (LLMs) and generative AI applications.

Required Skills

• 15+ years of experience in software engineering or AI development.
• Deep expertise with Python and ETL pipeline construction.
• Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, and Semantic Kernel.
• Proven track record building multi-agent systems and agentic workflows.
• Strong understanding of LLMs and Generative AI principles.
• Experience with Model Context Protocol (MCP) standards.
• Familiarity with AIOps tools and automation platforms like n8n.
• Bachelor's degree in Computer Science, Engineering, or related field.

Preferred Skills

• Experience with Azure Agentic Framework.
• Background in deploying production-grade AI systems at scale.

Key Skills

Education

Bachelor's degree