AI Agent & Workflow Engineer (Agentic AI)

GenAquarius; Dadri; Hybrid; INR 1,000,000 - 1,600,000; Full time

Job summary

GenAquarius in India is seeking an AI Agent Engineer to design, develop, and deploy multi-step business-process automations using agentic AI workflows and LLMs. You will build scalable AI solutions that interact with enterprise systems and external services within Azure.

The role emphasizes tool calling, function calling, and orchestration, with a focus on secure, reliable deployments and cost optimization. Strong programming and cloud integration skills are required.

Qualifications

• Hands-on experience building AI agents, agentic AI applications, and automated workflows.
• Experience with LLMs such as OpenAI, Azure OpenAI, Anthropic Claude, or equivalent models.
• Familiarity with frameworks such as LangGraph, LangChain, Microsoft Semantic Kernel, or AutoGen.
• Strong understanding of tool calling, function calling, prompt engineering, and structured outputs.
• Proficiency in Python or C#/.NET for building AI services, APIs, and integrations.

Responsibilities

• Design, develop, and deploy AI agents capable of executing multi-step business processes.
• Build agentic AI workflows using LLMs, tool calling, function calling, and workflow orchestration frameworks.
• Develop AI agents that interact with APIs, databases, enterprise applications, and external services.
• Build multi-agent workflows where specialized agents collaborate to complete complex business tasks.
• Implement workflow orchestration, conditional branching, state management, exception handling, and human approval mechanisms.

Skills

Hands-on AI agents

LLMs & tooling

Python or C#/.NET

REST APIs & orchestration

Prompt engineering

Asynchronous processing

Tools

LangGraph

LangChain

Microsoft Semantic Kernel

AutoGen

Azure Functions

Azure OpenAI

Job description

Key Responsibilities

• Design, develop, and deploy AI agents capable of executing multi-step business processes.
• Build agentic AI workflows using LLMs, tool calling, function calling, and workflow orchestration frameworks.
• Develop AI agents that interact with APIs, databases, enterprise applications, and external services.
• Build multi-agent workflows where specialized agents collaborate to complete complex business tasks.
• Implement workflow orchestration, conditional branching, state management, exception handling, and human approval mechanisms.
• Integrate AI agents with enterprise systems using REST APIs, webhooks, and backend services.
• Build secure and reliable AI solutions with logging, monitoring, retries, and error recovery.
• Deploy and maintain scalable AI agents and workflows on Microsoft Azure.
• Optimize AI workflows for accuracy, performance, reliability, and operational cost.

Required Technical Skills

• Hands-on experience building AI agents, agentic AI applications, and automated workflows.
• Experience with LLMs such as OpenAI, Azure OpenAI, Anthropic Claude, or equivalent models.
• Familiarity with frameworks such as LangGraph, LangChain, Microsoft Semantic Kernel, or AutoGen.
• Strong understanding of tool calling, function calling, prompt engineering, and structured outputs.
• Proficiency in Python or C#/.NET for building AI services, APIs, and integrations.
• Experience with REST APIs, workflow orchestration, asynchronous processing, and error handling.
• Familiarity with Microsoft Azure AI services, Azure Functions, and cloud deployment.
• Understanding of AI security, authentication, authorization, and responsible AI practices.

Good to Have

• Experience with NetSuite APIs and ERP integrations.
• Familiarity with MuleSoft Anypoint Platform and enterprise integration patterns.
• Experience with Workato recipes, connectors, and workflow automation.
• Experience deploying production-grade AI agents and multi-agent workflows in enterprise environments.