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AI Engineer

  • Source: LinkedIn
  • UrBox - Digital Rewards & Loyalty Solution
  • On-site
  • Ho Chi Minh City
  • Full-Time
  • Mid level

Job Description

Location: Ho Chi Minh

Expired date: 31/12/2026

Team: Engineering

About Urbox UrBox is Vietnam’s leading digital gifting & loyalty platform that enables businesses to integrate their reward & loyalty programs with an ever-growing network of more than 350 brands & 20,000 accepted online and offline stores in Vietnam.

UrBox has the widest network of clients in loyalty in Vietnam and provides loyalty & reward solutions to many big organizations in the aviation, banking, FMCG, Insurance, Real Estate industries and more.

Key Responsibilities

  • Design & Development: Build AI Agents and Multi-agent workflows to automate business processes (e.g., CS Call Analysis, Jira Task Automation, Knowledge Base Assistants).
  • LLM Optimization: Experiment with and select optimal models (GPT-4, Claude, Gemini, or Open-source like Llama/Mistral). Implement advanced RAG (Retrieval-Augmented Generation) techniques for proprietary data processing.
  • Production Deployment: Collaborate with Data and Backend teams to package AI services into stable, scalable APIs on cloud infrastructure.
  • Prompt Engineering & Fine-tuning: Design complex prompt chains and perform model fine-tuning where necessary to improve accuracy for specialized tasks (e.g., OCR bill scanning, Superset report analysis).
  • Monitoring & Evaluation: Develop evaluation frameworks to track AI output quality, ensuring safety, reliability, and precision in a production environment.

Requirements

  • Experience: Minimum 4 years in AI/Machine Learning, with at least 2 year of hands-on experience focused on LLMs.
  • Programming Skills: Proficiency in Python and common frameworks (PyTorch/TensorFlow).
  • AI Stack: Experience with LangChain, LlamaIndex, or CrewAI/Autogen. Strong understanding of Vector Databases (Pinecone, Milvus, Weaviate, or pgvector).
  • System Knowledge: Understanding of Data Pipelines, API integrations, and modern Software Architecture principles.
  • Preferred Qualifications:
  • Experience in MLOps (deploying and monitoring AI models at scale).
  • Familiarity with data security standards (knowledge of PCI-DSS is a significant plus).
  • Experience with SQL and relational databases, specifically PostgreSQL.

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Skills

  • JIRA
  • claude-by-anthropic
  • Gemini
  • meta-llama
  • llama
  • superset
  • Python
  • PyTorch
  • Tensorflow
  • LangChain
  • LlamaIndex
  • crewai
  • Milvus
  • PostgreSQL
  • processing-js
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