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:

LangChain
LangGraph
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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

AI Automation Engineer

Job Description

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