Junior AI Specialist

HOUSE OF AMBER NECTAR PTE. LTD.; Singapore; Hybrid; SGD 52,000 - 78,000; Full time

Job summary

HOUSE OF AMBER NECTAR PTE. LTD. in Singapore is seeking a Junior AI Specialist to help integrate AI into core operations.

You will evaluate, deploy, and manage localized LLMs and agent frameworks, bridging cutting‑edge AI research with practical enterprise applications to automate workflows across marketing, data extraction, and CRM. The role focuses on building pipelines, configuring AI agents, and supporting containerized environments, with opportunities for growth into mid‑level roles within

Qualifications

• Bachelor’s degree or equivalent hands‑on experience.
• Proficiency in Python, API integrations and RESTful design.
• Solid understanding of NLP, prompting techniques and LLM architectures.
• Ability to troubleshoot hardware configurations, VRAM limitations and container deployment issues.

Responsibilities

• Assist in evaluating and deploying local language models tailored for enterprise use cases.
• Configure and maintain AI agent frameworks to orchestrate multi-step software tasks.
• Build and manage data integration pipelines connecting AI models with CRM, ERP and internal databases.
• Utilize tools like Firecrawl or Apify to extract data and monitor trends.
• Support containerized environments (Docker) and multi-user workstations (Proxmox VE, Parsec).
• Assist in configuring and querying vector databases like PostgreSQL with pgvector for RAG apps.

Skills

Python

API integrations

JSON

RESTful architectures

NLP

Prompting techniques

LLM architectures

Debugging

Container deployment

Workflow automation

Education

Bachelor’s degree in Computer Science, Data Science, Information Systems

Tools

n8n

Docker

Proxmox VE

Parsec

PostgreSQL

pgvector

Job description

Job Title: Junior AI Specialist

Department: Technology / AI Operations

Location: Singapore / Hybrid

Reports To: Managing Director / Head of Technology

Role Overview

We are seeking a highly motivated and hands-on Junior AI Specialist to support the integration of artificial intelligence into our core business operations. In this role, you will assist in evaluating, deploying, and managing localized large language models (LLMs) and autonomous agent frameworks. You will bridge the gap between cutting-edge AI research and practical enterprise applications, helping to build automated workflows that drive efficiency across marketing, data extraction, and CRM management.

Key Responsibilities

• LLM Evaluation & Deployment: Assist in benchmarking and deploying both open-weight and proprietary language models (e.g., Qwen, DeepSeek, GLM-5.2, Claude, and Gemini) tailored for local hardware and specific enterprise use cases.

• Agentic Workflow Automation: Help configure and maintain AI agent frameworks (such as OpenClaw, NanoClaw, Hermes Agent, and Claude Code) to orchestrate complex, multi-step software tasks.

• Pipeline Engineering: Build and manage data integration pipelines using workflow automation tools like n8n to connect AI models with CRM systems (e.g., Twenty CRM), ERPs, and internal databases.

• Data Extraction & Web Scraping: Utilize tools like Firecrawl or Apify to systematically extract point-of-interest data and monitor social media trends for brand and demographic analysis.

• Infrastructure Support: Support the maintenance of containerized environments (Docker) and centralized multi-user workstations (Proxmox VE, Parsec) required for resource-intensive AI operations.

• Database Management: Assist in configuring and querying vector databases, particularly PostgreSQL utilizing pgvector, to support Retrieval-Augmented Generation (RAG) applications.

Required Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field (or equivalent hands‑on experience).

• Programming: Proficiency in Python, with a solid understanding of API integrations, JSON, and RESTful architectures.

• AI/ML Foundations: A strong foundational understanding of natural language processing (NLP), prompting techniques, and the operational differences between various LLM architectures.

• Problem Solving: A highly analytical mindset with the ability to troubleshoot hardware configurations, VRAM limitations, and container deployment issues.

Preferred Tech Stack Experience

• Workflow & Orchestration: n8n, Tavily, Google Antigravity.

• Infrastructure: Docker, Proxmox VE hypervisors, Google Cloud Platform (GCP).

• Databases: PostgreSQL (specifically with pgvector extensions).

• Project Management: Jira, ClickUp.

What We Offer

• Hands-on AI Experience: Direct exposure to running local AI models and configuring autonomous agent systems in a real-world commercial environment.

• Career Growth: Mentorship from senior leadership and a clear trajectory toward a Mid-Level or Senior AI Engineer role.

• Innovative Environment: A culture that encourages continuous learning, technical experimentation, and the rapid deployment of new open‑source technologies.