About the role
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
-
-
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
-
-
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