Senior/Expert AI Engineer

VinSOC is looking for a senior AI leader to drive the research, development, and real-world application of LLMs, Agentic AI, and advanced machine learning for cybersecurity products.
This role is ideal for candidates who combine strong research depth, hands-on AI productization capability, and team leadership experience to turn advanced AI into scalable, production-ready solutions.
We are opening this position in Hanoi & HCMC.
Key Responsibilities
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.
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.
Preferred Qualifications
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.