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 DevelopmentDesign

and implement automation workflows for:

-

Lead Management

-

Customer Support

-

Sales Operations

-

Marketing Automation

-

Internal Productivity

-

Knowledge Management

-

HR Automation

-

Reporting Automation

AI

Agent DevelopmentBuild

and deploy:

-

Customer Support Assistants

-

FAQ Bots

-

Internal Knowledge Assistants

-

Sales Assistants

-

WhatsApp AI Agents

-

Employee Support Bots

-

Dealer Support Assistants

System

IntegrationsIntegrate

AI solutions with:

-

Shopify

-

Zoho CRM

-

Salesforce

-

ERP Systems

-

WhatsApp Business APIs

-

Google Workspace

-

Microsoft 365

-

Slack

-

Teams

-

Third Party APIs

AI

Platform IntegrationWork

with:

-

OpenAI

-

Claude

-

Gemini

-

Azure OpenAI

-

Other LLM Platforms

Automation

PlatformsBuild

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

5.

CRM automation workflow