Role Overview
We are looking for a hands-on AI Automation & Agentic AI Engineer with 3–4 years of experience building and implementing AI agents, agentic workflows, business process automation, and AI-powered applications. The ideal candidate should have strong practical knowledge of APIs, AI platforms, workflow automation, LLMs, and system integrations, with a proven track record of deploying real-world solutions.
Responsibilities
- Design and build AI agents and agentic workflows for real business use cases.
- Build workflow automation using n8n, Microsoft Power Automate, Copilot Studio, Zapier/Make, and similar tools.
- Develop AI solutions using Microsoft Azure AI Foundry, Azure OpenAI, Microsoft AI services, and Microsoft Copilot ecosystem.
- Integrate LLMs, APIs, databases, SaaS applications, CRM/ERP systems, and internal applications.
- Build RAG-based applications, AI assistants, document-processing workflows, and intelligent automation.
- Work with LangChain, LangGraph, CrewAI, Semantic Kernel, or similar frameworks.
- Build and integrate APIs using FastAPI, REST APIs, webhooks, and JSON.
- Work with MCP (Model Context Protocol) and AI tool integrations.
- Evaluate new AI models and automation platforms and implement practical business solutions.
- Monitor, troubleshoot, and improve AI workflows and integrations.
Requirements
- 3–4 years of hands-on experience in AI automation, Agentic AI, or workflow automation.
- Proven experience building and implementing production or business-use AI solutions.
- Strong understanding of APIs and system integration.
- Ability to convert manual business processes into automated AI workflows.
- Comfortable working with both Microsoft/Azure and open-source AI tools.
- Proficiency in Python or JavaScript, SQL, and Git.
Skills
- LangChain
- Azure OpenAI
- n8n
- FastAPI
- Python