[Available] AI Automation Engineer & n8n Specialist $15-25/hr (RAG & Agentic Systems)

Jobs
1

I build production-grade n8n workflows that connect LLMs, vector databases, and external APIs to automate complex business operations.

Hi, I’m Lukman Indro Prakoso, an AI Automation Engineer and n8n specialist. For the past two years, I have designed, deployed, and maintained production n8n workflows, focusing heavily on agentic architectures, retrieval-augmented generation (RAG), and custom infrastructure.

Instead of basic linear automations, I specialize in building resilient systems that handle edge cases, data persistence, and complex API interactions. Here are two recent projects I deployed:

  • WhatsApp AI Agent: Designed a multi-agent n8n system integrated with Gemini, RAG, and PGVector. The architecture dropped customer response times from several minutes to roughly 10 seconds, while directly shifting conversions from a 15–20% baseline up to 35–40%.

  • Legal-Tech Contract Audit: Developed a Gemini-powered RAG pipeline in n8n featuring parallel agentic document generation. This system cut manual legal review times from two hours down to under two minutes per contract.

My core technical stack includes n8n (advanced webhooks, cron execution, error-trigger workflows, API integrations), OpenAI, Gemini, RAG pipelines, PGVector, WhatsApp Business API, Supabase, Bubble.io, JavaScript, and self-hosted n8n management via Docker.

I am currently looking for new opportunities and have immediate availability. I am open to both full-time roles and contract arrangements. My rate is $15-25/hour, working entirely remote from Surakarta, Indonesia.

If you have complex processes that need reliable automation or want to integrate LLMs securely into your existing product stack, let’s talk. You can reach out to me via forum DM or directly via email at lukmanindroprakoso@gmail.com.

1 curtida
2

Hi Lukman,

Your experience with production-grade n8n workflows, RAG systems, and multi-agent architectures is impressive. The WhatsApp AI Agent and Legal-Tech Contract Audit projects are particularly interesting, especially the measurable improvements in response times and operational efficiency.

I’m also active in the automation and AI workflow space and would love to learn more about your approach to designing resilient n8n systems, particularly around vector databases, agent orchestration, and error handling in production environments.

Are you available for a quick discussion? I’d be interested in hearing more about your architecture decisions, deployment strategy, and how you’ve handled scaling and reliability challenges.

Looking forward to connecting.