AI Automation Engineer

CloudDevs; India; Remote; INR 800,000 - 1,200,000; Full time

Job summary

A leading tech company in India is looking for an Automation Engineer to design and operate AI-powered systems. You will build n8n workflows and ensure system reliability and security through effective management of APIs and LLMs. The ideal candidate should have strong experience with automation tools and programming, particularly in Python, while also understanding workflows and security best practices. This role offers an opportunity to make a significant impact in an innovative environment.

Qualifications

• Hands-on experience with n8n or similar automation tools.
• Proficiency in a programming language like Python.
• Practical experience with LLMs and API workflows.

Responsibilities

• Design and operate internal automations and AI-powered agents.
• Build and maintain workflows integrating APIs and LLMs.
• Implement security measures such as secrets management and RBAC.

Skills

n8n

Python

REST APIs

GraphQL

LLM experience

SQL

NoSQL

Job description

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you are looking for ,webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.

Role Overview

Own the design and operation of internal automations and AI-powered agents. You’ll turn API workflows into reliable, observable systems using n8n and LLMs.

Key Responsibilities

• Build and maintain n8n workflows and custom nodes that orchestrate APIs, webhooks, and LLM calls.
• Design AI-assisted flows (classification, extraction, summarization, decision support) with clear guardrails.
• Implement secrets management, RBAC, rate limiting, and prompt-injection defenses.
• Add monitoring, alerting, and cost tracking; set SLOs for critical automations.
• Write concise docs/playbooks; enable self-serve patterns for teammates.
• Continuously improve reliability, latency, and cost via testing and iteration.

Requirements

• Strong hands‑on with n8n (or Make/Zapier/Airflow) and REST/GraphQL APIs.
• Proficiency in Python or other programming languages for custom logic/integrations.
• Practical LLM experience (function calling, prompting, evaluation basics).
• Solid grasp of auth (OAuth2/JWT), webhooks, queues, retries, and idempotency.
• SQL fundamentals and basic NoSQL familiarity.
• Security mindset: data handling, secrets, dependency hygiene.

Nice-to-Haves

• Observability (logs/metrics/traces).
• Exposure to LangChain or RPA/BPM concepts.