Senior AI Engineer (LLM & Model Training)

The AI Engineer will be responsible for designing developing training and deploying advanced Artificial Intelligence and Machine Learning models to solve complex business and manufacturing challenges. This role requires deep hands-on experience in model training fine-tuning Large Language Models (LLMs) and building scalable AI systems capable of operating in production environments.

Working closely with Data Engineers Software Engineers Manufacturing Quality Supply Chain and Digital Transformation teams the AI Engineer will transform large-scale structured and unstructured data into impactful AI solutions that drive operational excellence automation and innovation across the organization.

This position plays a critical role in enabling VinFasts vision of becoming a data-driven and AI-powered global EV manufacturer.

• Design develop train and optimize Machine Learning and Deep Learning models for production use cases.
  
• Fine-tune foundation models and Large Language Models (LLMs) for enterprise applications.
  
• Build AI solutions leveraging Computer Vision Natural Language Processing (NLP) Generative AI Predictive Analytics and Recommendation Systems.
  
• Develop and execute model training pipelines including data preprocessing feature engineering model validation and performance evaluation.
  
• Conduct experiments to improve model accuracy robustness scalability and inference efficiency.
  
• Apply transfer learning reinforcement learning and advanced deep learning techniques where appropriate.
  

• Develop and deploy Generative AI solutions using state-of-the-art foundation models.
  
• Build Retrieval-Augmented Generation (RAG) systems and AI Agents to support enterprise use cases.
  
• Optimize prompts fine-tuning strategies and inference workflows to improve model performance.
  
• Evaluate and benchmark various LLMs against business requirements and performance targets.
  

• Deploy and maintain AI models in production environments.
  
• Implement model monitoring performance tracking retraining and lifecycle management processes.
  
• Collaborate with Data Engineering teams to establish scalable data pipelines and feature stores.
  
• Utilize MLOps best practices for model versioning deployment automation and continuous improvement.
  
• Ensure AI solutions meet reliability security and governance requirements.
  

• Stay current with emerging AI technologies research and industry best practices.
  
• Evaluate new algorithms architectures and tools that can create business value.
  
• Contribute to the long-term AI strategy and roadmap for VinFast.
  
• Support the adoption of AI across manufacturing engineering supply chain customer experience and corporate functions.
  

• Bachelors or Masters degree in Artificial Intelligence Computer Science Machine Learning Data Science Mathematics Statistics or a related field.
  
• Minimum 5 years of hands-on experience in AI Machine Learning or Deep Learning development.
  
• Proven experience training fine-tuning and deploying Machine Learning and Deep Learning models in production environments.
  
• Strong expertise in Python and modern AI/ML frameworks.
  
• Hands-on experience with:
  • PyTorch
    
  • TensorFlow
    
  • Hugging Face Transformers
    
  • Scikit-learn
    
  • LangChain or equivalent frameworks
    
• Experience working with GPU-based training environments and model optimization techniques.
  
• Strong understanding of:
  • Machine Learning Algorithms
    
  • Deep Learning Architectures
    
  • Transformer Models
    
  • Computer Vision
    
  • NLP
    
  • Generative AI
    
  • LLM Fine-tuning
    
• Experience with SQL and large-scale data processing.
  
• Strong analytical problem-solving and communication skills.
  
• Good command of English both written and spoken.
  

• Experience building and deploying enterprise Generative AI solutions.
  
• Hands-on experience with:
  • RAG (Retrieval-Augmented Generation)
    
  • AI Agents
    
  • Multi-Agent Systems
    
  • LLM Fine-tuning
    
  • Prompt Engineering
    
• Experience with MLOps tools such as MLflow Kubeflow Airflow Weights & Biases or similar platforms.
  
• Familiarity with Docker Kubernetes and cloud platforms (Azure AWS or GCP).
  
• Experience developing Computer Vision models for defect detection quality inspection or industrial automation.
  
• Experience within Automotive Manufacturing Industrial AI Robotics or Smart Factory environments is highly preferred.
  
• Contributions to AI research open-source projects patents publications or Kaggle competitions are a plus.
  

• Be part of a globally ambitious EV company transforming the future of mobility.
  
• Work on large-scale real-world AI applications with tangible business impact.
  
• Access cutting-edge technologies high-performance computing resources and large enterprise datasets.
  
• Collaborate with world-class engineers researchers and technology leaders.
  
• Accelerate your career in an innovation-driven and fast-growing global organization.
  

Key Requirement: Strong hands-on experience in training fine-tuning and optimizing Machine Learning Deep Learning and Large Language Models (LLMs) is essential. This role is intended for engineers who can build and deploy production-ready AI models rather than perform only data analysis or reporting activities.