AI Engineer

Major projects you will tackle
Omni-channel customer chatbot that handles FAQs, after-sales, and ticket booking for bus, flight, train, and vehicle-rental verticals-across text and voice.
Department-specific assistants for HR onboarding, finance invoice queries, operations incident triage, IT help-desk, and more-each powered by shared LLM components and n8n triggers.
Company-wide automation hub built on n8n, including reusable nodes and guard-rails that let non-technical teams create flows safely.
Multimodal expansion that blends text, speech, and images so customers can, for example, upload a ticket photo or speak a booking change request.
You will fine-tune foundation models, fuse retrieval with LLM reasoning, and iterate in Vietnamese, English, and other languages.
What you will do
Design, implement, and continually improve our multi-agent framework. Build and refine agent components such as short- and long-term memory stores, planning/reflection loops, agent-to-agent messaging, and specialised prompt templates that let multiple agents collaborate on complex tasks.
Select and adapt OpenAI, Gemini models, Llama, Mixtral or better-using LoRA or full fine-tuning-so the models speak our brand voice in multiple languages.
Build and optimise retrieval-augmented pipelines, keeping latency below two seconds and hallucinations under five percent.
Craft prompts, refusal rules, and jailbreak tests; automate factuality, safety, and multimodal hallucination checks in CI.
Package models with Docker and serve them through FastAPI or gRPC behind vLLM, Triton Inference Server, or Text-Generation-Inference; add monitoring with Grafana / Prometheus for latency, drift, and GPU cost (for later milestones).
Pair daily with Conversation Designers, MLOps engineers, Automation engineers, and business stakeholders; publish model cards, data sheets, and rollback plans.