AI Automation Engineer (n8n + AI Agents)

webook.com · Remote · Location not stated

Location not statedExperience not statedPublished 12 May 2026Check carefully

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First recorded by Psst: 3 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
Experience not stated
Where you can live
Location not stated
Skills and tools
sql, python, aws, gcp, docker, kubernetes
Job type
Full-time

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Job details

Where you can work
Location not stated
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Experience not stated
Employer publication date
12 May 2026
First recorded by Psst
3 November 2026
Last checked at the source
3 November 2026

About the job

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.

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

  • GCP/AWS, Docker/Kubernetes, GitOps/CI.
  • Observability (logs/metrics/traces).
  • Exposure to LangChain or RPA/BPM concepts.

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