Azure Agentic AI Engineer

Otomeyt; Pune District, Chennai District, Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Otomeyt in Pune, India is seeking an AI solutions engineer to design and deploy agentic AI systems on the Azure stack. The role involves building production-grade AI capabilities, leveraging Azure OpenAI, Azure AI Search, and Document Intelligence, and implementing RAG architectures.

You will develop AI orchestration with LangGraph, Semantic Kernel, and AutoGen, work across multi-agent frameworks, and implement MCP/A2A protocols with Python, C#, or Node.js.

Qualifications

• Experience designing and deploying agentic AI solutions.
• Strong background building production-grade AI systems on cloud platforms.
• Experience with Azure AI stack and related services.
• Familiarity with RAG architectures and LLMs.
• Proficiency in Python, C#, or Node.js.
• Infrastructure as code with Terraform or Bicep.
• Knowledge of AI governance and security compliance.
• Experience with DevOps practices.

Responsibilities

• Build and deploy Agentic AI solutions.
• Develop production-grade AI systems using the Azure AI platform.
• Work with Azure OpenAI, Azure AI Search, Document Intelligence, Functions, and App Services.
• Design and implement RAG architectures using LLMs, embeddings, and vector databases.
• Develop AI orchestration using LangGraph, Semantic Kernel, and AutoGen.
• Work with Multi-Agent Frameworks.
• Implement solutions using MCP and A2A protocols.
• Work with Python, C#, or Node.js.
• Implement infrastructure using Terraform or Bicep.
• Work with Azure Cloud, DevOps, and Security.
• Address AI Governance and Compliance requirements.

Skills

Architectural thinking

Problem solving

Teamwork

Tools

Azure OpenAI

Azure AI Search

Document Intelligence

Functions

App Services

LangGraph

Semantic Kernel

AutoGen

MCP and A2A protocols

Python

C#

Node.js

Terraform

Bicep

Azure Cloud

DevOps

Security

Job description

Key Responsibilities

• Build and deploy Agentic AI solutions.
• Develop production-grade AI systems using the Azure AI platform.
• Work with Azure OpenAI, Azure AI Search, Document Intelligence, Functions, and App Services.
• Design and implement RAG architectures using LLMs, embeddings, and vector databases.
• Develop AI orchestration using LangGraph, Semantic Kernel, and AutoGen.
• Work with Multi-Agent Frameworks.
• Implement solutions using MCP and A2A protocols.
• Work with Python, C#, or Node.js.
• Implement infrastructure using Terraform or Bicep.
• Work with Azure Cloud, DevOps, and Security.
• Address AI Governance and Compliance requirements.