| Description: |
Our client is seeking a forward-thinking LLM Engineer with high potential to join their Global Agentic AI Program. This is a high-impact role at the vanguard of the next AI frontier: Autonomous Agentic Workflows. In this capacity, you will move beyond standard chatbots to architect and deploy reliable, production-grade multi-agent systems designed to solve complex retail challenges on a global scale. As a key member of a multinational and dynamic environment, you will join a high-caliber transformation team that bridges innovation across diverse international markets. Leveraging an advanced tooling stack and LLMOps framework (including LangGraph, Langfuse, and RAG), you will build the observable, enterprise-level AI infrastructure that will define the future of "O+O" (Offline plus Online) retail.
Key Responsibilities:
- Design and orchestrate sophisticated multi-agent workflows.
- Build systems capable of multi-step coordination, complex tool/function calling, and robust error handling to ensure reliable autonomous execution.
- Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines. This includes optimizing data ingestion, chunking strategies, vector indexing, and reranking to ensure high-fidelity grounding and precise citation/attribution.
- Continuously improve system output through advanced prompt orchestration, dataset curation, and lightweight model adaptation or selective fine-tuning to balance quality, latency, and cost.
- Implement rigorous monitoring and evaluation frameworks. You will manage the full application lifecycle—from deployment and tracing to incident response and iterative optimization.
- Collaborate closely with ML Engineers and Data Scientists to embed LLM capabilities into existing APIs and downstream platforms, ensuring seamless AI-to-human interaction through Generative UI components.
- Actively track the rapidly evolving LLM landscape, translating breakthrough research into measurable production improvements and use cases.
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field.
- 3+ years of professional experience in AI or Data Science, with 4–8 years preferred for those seeking senior-level impact.
- A proven track record of developing and successfully deploying production-grade, LLM-powered applications.
- Expert proficiency in Python, with hands-on mastery of modern LLM frameworks and observability tools such as LangChain, LangGraph, and Langfuse.
- Deep familiarity with prompt engineering, RAG optimization, dataset iteration, and model fine-tuning.
- Strong understanding of agentic orchestration, vector databases (e.g., Pinecone, Milvus, or Weaviate), and modular, component-based AI design.
- A scientific approach to hypothesis testing—leveraging statistical data to validate the effectiveness of agent-driven strategies.
- Professional English fluency is mandatory for high-level collaboration across global markets.
If this outstanding opportunity sounds like your next career move, please send your resume in Word format to Emmy Yiu at resume[at]pinpointasia.com and put Business Analyst (Agentic AI Program) - Global Retailer - J12531 in the subject header. Data provided is for recruitment purposes only.
Pinpoint Asia is the leading specialist Financial IT recruitment firm in the Asia Pacific region. Visit Pinpoint Asia’s website at pinpointasia.com today to see other exciting job opportunities.
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