LLM Developer/AI Lab - Retail/12 Months Contract/30-50K HKD P/M

LLM Developer

Key Responsibilities

• Design and develop LLM-powered applications, including multi-agent systems (e.g., chatbots and agentic workflows) with prompt orchestration, tool/function calling, and reliable multi-step coordination.
• Build retrieval-augmented generation (RAG) capabilities: data ingestion, chunking, embedding/indexing, vector search, reranking, and citation/attribution to improve answer grounding.
• Develop and maintain data pipelines that curate and govern external knowledge sources used by LLM applications (freshness, quality, access control).
• Improve model and system performance through prompt optimization, dataset curation, lightweight adaptation (e.g., LoRA/PEFT), and selective fine-tuning where appropriate.
• Implement and operate LLMOps practices: deployment, monitoring/observability, evaluation, incident response, and iterative optimization for quality, latency, and cost.
• Collaborate with ML engineers and data scientists to integrate LLM systems into existing products and services (APIs, platforms, and downstream applications).
• Track relevant advances in the LLM ecosystem and translate them into measurable improvements in our production applications.

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Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Data Science, or a related field (or equivalent practical experience).
• 1-3 years’ experience in software development experience
• Strong proficiency in Python and experience building production-grade services (APIs, async jobs, testing, CI/CD).
• Experience with LLM frameworks and tooling (e.g., LangChain/LangGraph, LlamaIndex) and modern LLM integration patterns.
• Proven experience developing LLM applications and improving them via systematic experimentation (prompting, RAG tuning, dataset iteration, and/or fine-tuning with PEFT).
• Strong evaluation mindset: define success metrics and run offline/online evaluations (e.g., groundedness/faithfulness, relevance, retrieval metrics, win-rate, human review, A/B tests).
• Experience deploying models/LLM applications in production environments (containers, cloud services, scalable architectures, monitoring).
• Familiarity with responsible AI and security practices (privacy, access control, prompt injection defenses, guardrails/policy-aligned behavior).
• Excellent communication and collaboration skills.

Nice to have

• Experience with container orchestration and cloud-native deployment patterns (e.g., Kubernetes).
• Experience with observability/telemetry stacks (e.g., OpenTelemetry, distributed tracing, metrics, structured logging).

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Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.