Senior AI Engineer (GenAI)

About the Role

AI at Masan isn't a lab experiment — it's infrastructure for one of Vietnam's largest consumer ecosystems. Our AI Department sits inside the Group Data function, working shoulder-to-shoulder with Data Science, Data Engineering, and Analytics to turn GenAI into systems that touch millions of transactions. What we build is the harness — the orchestration layer, tool integrations, memory, and control logic that turn a raw LLM into a working agent. We're looking for a Senior AI Engineer who wants to own that harness layer end-to-end, at real production scale.

If you've shipped a production agentic system before — not a demo, a system that runs — this is that role.

What You'll Do

• Design and own the agent harness — orchestration logic, tool-calling, memory, and control flow that wraps around LLM APIs to produce reliable agent behavior
• Build and maintain RAG pipelines, retrieval infrastructure, and context engineering for production-scale agents
• Integrate and evaluate LLM APIs (commercial and open-source) — you're not training models, you're engineering how they're used
• Work daily with a strong DA/DS/DE bench to turn raw group data into GenAI-ready assets
• Partner directly with business leaders across the ecosystem to translate ambiguous problems into shipped agentic solutions
• Set the technical bar for GenAI/agent engineering as the function scales — your standards become the team's standards

What You'll Need

• 3+ years of working experience, with real hands-on GenAI/LLM production work
• Proven experience shipping and operating a production product at large scale — this is a hard requirement
• Strong Python engineering chops
• Hands-on experience building agentic systems / agent harnesses — tool-use, orchestration, agent frameworks (LangChain, LlamaIndex, or equivalent); comfortable working with LLMs purely via API, not training them
• RAG architecture and vector database experience
• Comfortable deploying and operating systems in production (Docker, cloud infrastructure)
• Bachelor's/Master's in CS, AI, Data Science, or related field
• Good communication — you'll be in the room with senior stakeholders, so this gets tested in interview, not just listed on a CV

What Makes You Stand Out

• Experience in retail, F&B, or consumer goods at scale
• An agentic system that's still running in production today, not archived
• Published work, open-source contributions, or a portfolio that shows real technical range