Senior/Expert AI Engineer (ML, LLM, Agentic AI, RAG)

Indeed|VinSOC|Xã Gia Lâm|16 Aug 2026
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JOB DESCRIPTION

Top 3 reasons to join us

  • Competitive Compensation
  • Cutting-Edge Technology, AI Security
  • Global Environment

Job description

  • Design and develop AI applications powered by Large Language Models (LLMs), including chatbots, AI assistants, Copilots, Retrieval-Augmented Generation (RAG), Text-to-Query, and AI Agents.
  • Develop AI models for classification, scoring, data analysis, anomaly detection, and behavioral pattern recognition.
  • Build knowledge management and long-term memory systems for LLMs to enable contextual information storage, retrieval, and reuse.
  • Optimize AI systems for accuracy, latency, scalability, and operational cost.

Your skills and experience

Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Minimum 7 years of experience in AI, Machine Learning, Natural Language Processing (NLP), Data Science, or related domains.
  • Proven experience delivering and deploying at least one AI product or production-grade AI system.
  • Hands-on experience in one or more of the following areas:
    • LLMs, Chatbots, AI Copilots, RAG, Text-to-SQL/Text-to-Query, or AI Agents.
    • Classification, anomaly detection, time-series analysis, or behavioral analytics.
    • Semantic search, knowledge graphs, knowledge management, or LLM memory systems.
  • Strong proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent.
  • Experience working with vector databases, databases, APIs, and large-scale data processing systems.
  • Strong system design skills with the ability to evaluate technical trade-offs and recommend appropriate architectural solutions.
Priorities
  • Experience building enterprise AI products or mission-critical AI systems requiring high accuracy, security, and traceability.
  • Experience with MLOps, LLMOps, model monitoring, or deploying AI models in on-premises environments.
  • Experience developing shared AI platforms or reusable AI capabilities that support multiple products.
  • Good English communication skills, with the ability to read technical documentation and collaborate effectively in English.

Why you'll love working here

  • Work on cutting-edge AI Security & Cybersecurity systems at scale.
  • Work on cutting-edge technologies, including LLMs, Agentic AI, and advanced Machine Learning.
  • Enjoy the opportunity to solve complex security challenges at scale and create industry-leading solutions.