AI Automation Engineer

Job Description AI Automation Engineer

Job Summary

We are looking for a highly skilled AI professional who can design, develop, and implement AI-powered solutions, business process automation, and system integrations. The candidate should have hands-on experience with Generative AI, AI Agents, APIs, MCP (Model Context Protocol), workflow automation, and modern AI platforms.

Key Responsibilities

AI Development

• Develop and deploy AI applications using ChatGPT, Claude, Gemini, and Microsoft Copilot.
• Build AI Agents, AI Assistants, and Chatbots for business operations.
• Implement RAG (Retrieval-Augmented Generation) solutions and knowledge management systems.
• Integrate AI models with enterprise applications and databases.

Automation & Workflow Development

• Design and implement workflow automation solutions.
• Automate repetitive business processes using AI and automation platforms.
• Create end-to-end automated workflows
• Optimize existing workflows to improve efficiency and reduce manual effort.

API & Integration

• Develop and manage REST APIs and Webhooks.
• Integrate AI solutions with CRM, ERP, third-party applications.
• Connect multiple systems and applications through APIs.
• Troubleshoot and optimize integration performance.

MCP (Model Context Protocol)

• Configure and manage MCP servers.
• Integrate AI models with external tools and enterprise systems through MCP.
• Develop secure AI-to-system connectivity solutions.
• Ensure data security and governance standards.

Solution Architecture

• Design scalable AI and automation architectures.
• Prepare technical documentation and implementation plans.
• Evaluate new AI technologies and recommend business use cases.
• Support proof-of-concept (POC) and pilot projects.

Required Technical SkillsAI & LLMs

• ChatGPT/OpenAI
• Claude
• Gemini
• Microsoft Copilot
• AI Agents
• RAG Implementation

Development

• Python
• JavaScript
• SQL
• REST APIs

Cloud & Platforms

• Microsoft Azure
• Azure OpenAI
• AWS (Preferred)
• Google Cloud (Preferred)

MCP Knowledge

• MCP Server Setup
• MCP Tool Integration
• AI Agent Connectivity
• Enterprise Tool Integration