AI Automation Engineer

Role Overview We are looking for an AI Automation Engineer who can design, build and deploy AI-powered workflows, business automations, integrations and AI agents. The ideal candidate should have strong understanding of APIs, workflow automation platforms, AI tools, integrations, and business processes. This role is ideal for someone who enjoys solving real business problems using AI and automation technologies.

Key Responsibilities

AI Workflow Development Design and implement automation workflows for:

• Lead Management
• Customer Support
• Sales Operations
• Marketing Automation
• Internal Productivity
• Knowledge Management
• HR Automation
• Reporting Automation AI Agent Development Build and deploy:
• Customer Support Assistants
• FAQ Bots
• Internal Knowledge Assistants
• Sales Assistants
• WhatsApp AI Agents
• Employee Support Bots
• Dealer Support Assistants System Integrations Integrate AI solutions with:
• Shopify
• Zoho CRM
• Salesforce
• ERP Systems
• WhatsApp Business APIs
• Google Workspace
• Microsoft 365
• Slack
• Teams
• Third Party APIs AI Platform Integration Work with:
• OpenAI
• Claude
• Gemini
• Azure OpenAI
• Other LLM Platforms Automation Platforms Build solutions using: - n8n
• Make.com
• Zapier
• Power Automate Documentation Prepare:
• Workflow Diagrams
• Technical Documentation
• Process Flows
• User Guides
• Deployment Documents Required Skills
• REST APIs
• Webhooks
• JSON
• API Authentication
• Business Process Automation
• Workflow Design Automation Platforms Hands-on experience with at least one: - n8n
• Make.com
• Zapier
• Power Automate AI Platforms Exposure to:
• ChatGPT / OpenAI APIs
• Claude
• Gemini Database Knowledge Basic understanding of:
• MySQL
• PostgreSQL
• Supabase Programming Knowledge Preferred:
• Python
• JavaScript
• Node.js Good To Have Exposure to:
• Lang. Chain
• Lang. Graph
• Pinecone
• Qdrant
• Vector Databases
• RAG Systems
• AI Agent Frameworks
• Prompt Engineering Preferred Background Candidates from the following backgrounds will be preferred:
• Automation Agencies
• Zoho Implementation Partners
• Salesforce Partners
• Shopify Agencies
• SaaS Companies
• CRM Consulting Firms
• Digital Transformation Companies Key Performance Indicators (KPIs)
• Number of Automation Projects Delivered
• Workflow Success Rate
• Client Satisfaction Score
• AI Agent Accuracy
• Delivery Timelines
• Automation Efficiency Improvements
• Documentation Quality Practical Assessment Candidates may be asked to demonstrate:

1. Workflow built using n8n / Make / Zapier
2. API integration example
3. AI chatbot or AI assistant implementation
4. Lead automation use case
5. CRM automation workflow