AI ML Developer

Helius Technologies Pte Ltd; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Helius Technologies Pte Ltd in Singapore seeks a hands-on AI Engineer/AI Developer 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.

The role emphasizes practical implementation, self-hosted tooling (n8n), and integration via REST APIs, with a focus on memory-enabled agents and robust performance in a

Qualifications

• Build AI agents with memory, tool integration and multi-step reasoning.
• Build and manage RAG pipelines using vector databases.
• Engineer end-to-end automations and custom nodes with n8n.
• Develop reusable AI microservices and integrate them via REST APIs and secure authentication.

Responsibilities

• Design intelligent agents with memory and multi-step reasoning.
• Build, self-host and optimize end-to-end automations.
• Integrate AI components into enterprise systems via REST APIs.
• Collaborate with infrastructure teams to deploy scalable AI solutions.

Skills

Python

Java

REST APIs

Linux CLI

Tools

n8n

Claude Code

Qdrant

Weaviate

Chroma

Hugging Face

Jupyter

Job description

Role Overview

We are seeking a hands-on AI Engineer/AI Developer based in Singapore 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.

Eligibility Criteria (Strict Requirements)

• Current Location: Candidates must be currently based in Singapore to be considered.
• Work History: Continuous professional experience with zero/no career gaps.

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 Java /Type , 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.