LLM Developer/Retail/30-50K HKD P/M/Extendable Contract
Hong Kong
$30,000.00 - $50,000.00 Monthly
Default
Sector:
Technology
Function:
AI/ML
Contact Name:
Vivian On
Expiry Date:
04-Mar-2026
Job Ref:
JN -012026-492068
Date Published:
02-Feb-2026
Location:
Hong Kong
Salary: HKD 30,000 – 50,000 per month (Negotiable based on experience)
Tenure: Extendable Contract
Salary: HKD 30,000 – 50,000 per month (Negotiable based on experience)
Tenure: Extendable Contract
Our client is a global retail powerhouse and a household name with a massive physical and digital footprint across Asia and Europe. As one of the world's largest international health and beauty retailers, they are currently undergoing an ambitious AI-led transformation.
The successful candidate will join their specialized Digital/Innovation hub. This team is tasked with integrating Large Language Models (LLMs) into a vast ecosystem that serves millions of customers daily. Unlike typical research roles, you will be building production-grade AI
—developing intelligent chatbots, agentic workflows, and sophisticated RAG systems that directly impact global supply chains, personalized marketing, and customer engagement. You will be working with massive, high-quality datasets that provide a unique "playground" for fine-tuning and optimizing LLM performance at scale.
Key Responsibilities
- Agentic Systems: Design and develop LLM-powered applications, focusing on multi-agent systems, prompt orchestration, and complex tool/function calling for multi-step task coordination.
- Advanced RAG: Build and optimize Retrieval-Augmented Generation (RAG) capabilities, including data ingestion, chunking strategies, vector search, reranking, and citation attribution.
- Data Engineering: Maintain data pipelines to curate external knowledge sources, ensuring freshness, quality, and strict access control for LLM consumption.
- Optimization: Improve system performance via prompt engineering, dataset curation, and lightweight adaptation techniques (e.g., LoRA/PEFT).
- LLMOps: Implement deployment, monitoring, and evaluation frameworks to ensure production quality, low latency, and cost-efficiency.
- Collaboration: Work alongside ML Engineers and Data Scientists to integrate AI solutions into existing APIs and downstream platforms.
Required Qualifications
- Education: Degree in Computer Science, Mathematics, Data Science, or a related field.
- Technical Skills: Strong proficiency in Python with experience building production-grade services (APIs, CI/CD, Async jobs).
- AI Frameworks: Hands-on experience with LangChain, LangGraph, or LlamaIndex.
- LLM Delivery: Experience developing LLM applications and improving them through systematic experimentation (RAG tuning, dataset iteration, or fine-tuning).
- Evaluation Mindset: Ability to define success metrics (groundedness, faithfulness, retrieval metrics) and run A/B tests or human reviews.
- Production Experience: Experience deploying models in containerized environments or cloud-native scalable architectures.
- Responsible AI: Familiarity with AI security, including prompt injection defense, privacy, and guardrails.
Preferred Skills (Nice to Have)
- Experience with Kubernetes or container orchestration.
- Familiarity with observability stacks (OpenTelemetry, distributed tracing, and structured logging).
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.
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