AI Automation Engineer

Role Overview

We are seeking a hands-on

AI Automation Engineer

to build and deploy production-ready AI agents, autonomous workflows, and enterprise RAG pipelines. You will bridge advanced LLM capabilities with core business systems, transforming raw AI models into secure, scalable automation solutions.

Key Responsibilities

Build AI Agents & RAG:

Design intelligent agents with memory, tool integration, and multi-step reasoning. Build and manage RAG pipelines using vector databases.

Engineer Workflows:

Construct, self-host, and optimize complex end-to-end automations and custom nodes using

n8n

.

Integrate & Scale:

Develop reusable AI microservices and integrate them into enterprise systems via REST APIs, JSON, and secure authentication protocols.

Optimize & Maintain:

Partner with infrastructure teams to deploy scalable solutions, debug workflows, and refine system performance.

Qualifications

Core Tech:

Proficient in

Python

and/or

JavaScript/TypeScript

, Linux CLI environments, and REST API integrations (OAuth, API keys).

AI & Automation Stack:

Practical experience with

n8n

(self-hosted),

Claude Code

, vector databases (Qdrant, Weaviate, Chroma), Hugging Face, and Jupyter Notebooks.

AI Fundamentals:

Deep understanding of embeddings, tokenization, model inference, and fine-tuning concepts.

Mindset:

Strong analytical and debugging skills with a bias toward building practical, production-ready AI tools.

Important Note:

> Please share your resume in word format with [HIDDEN TEXT]

> Important Note: If this requirement is not a match for you please refer to your friends.

> Interested professionals can reach out to me for Confidential Discussion @ +65- 6950 5535.