**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
