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Senior AI Engineer

VinFast
2 hours ago
Full-time
On-site
Hanoi, Ha Noi, Vietnam
Artificial Intelligence

Job Overview

VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive   industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated to delivering high-quality, cutting-edge electric vehicles that redefine the driving       experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and more sustainable future through innovation, technology, and excellence.

In this role, you will be instrumental in [XXX] Department, using your skills to process and analyze   large volumes of data. You will collaborate with diverse teams, including Engineering, Quality Control,    VINFAST's suppliers, to create cutting-edge solutions that will drive the future of transportation.

Position Responsibilities

  • LLM & Conversational AI: Research, fine-tune (SFT, LoRA/PEFT, RLHF/DPO), and evaluate LLMs for natural, proactive, and personalized dialogue. Handle multi-intent understanding and multi-zone control within a single command, and implement RAG and Knowledge Bases for automotive domains (user manuals, warranty & maintenance, traffic laws, POIs).
  • Multi-agent Systems: Design architectures for agent orchestration, function/tool calling, planning, and memory. Manage routing between domains (vehicle control, navigation, knowledge, entertainment) and resolve task conflicts.
  • Edge AI & Optimization: Perform model compression (quantization, pruning, knowledge distillation) and optimize on-device inference for low latency and offline capability using TensorRT, ONNX, or TFLite, balancing model quality against hardware constraints.
  • Personalization & Proactivity: Build Context Engines and recommendation models to proactively suggest routes, charging stations, driving modes, HVAC, and entertainment content based on context and user habits, learning continuously from real-world feedback.
  • Safety & Quality: Develop AI Guardrails to control hallucinations, block sensitive content, and protect personal data. Build evaluation benchmarks per feature and ensure stable production operation (MLOps/LLMOps).

Requirements

  • Experience: Minimum 3 years of hands-on experience in AI projects, specifically in LLM/NLP and Agentic systems.
  • Core Technical Skills: Mastery of Transformer/LLM architectures, fine-tuning, RAG, function calling, and prompt & context engineering. Proven experience designing multi-agent orchestration, tool use, planning, and memory with output-quality control.
  • Edge Deployment: Practical experience optimizing and deploying models on edge/embedded devices using TensorRT, ONNX Runtime, or TFLite.
  • Software Engineering: Proficiency in Python and frameworks such as PyTorch, HuggingFace, and vLLM. Experience bringing models to production: MLOps/LLMOps, containerization, model serving, and monitoring.
  • Education: Bachelor's degree or higher in Computer Science, IT, Data Science, Applied Mathematics, or related fields. Strong technical English proficiency.
  • Preferred Skills (Plus): Experience in Speech (ASR, TTS, Voice Cloning, Wake-word Detection, Voice Biometrics), Computer Vision (object detection, driver/occupant monitoring, video understanding), or the Automotive/IVI/Embedded/real-time domain. Experience shipping large-scale LLM/Multi-agent products, publications at top-tier conferences (NeurIPS, ICML, ACL, CVPR, INTERSPEECH, etc.), or open-source contributions are highly valued.

Benefits

  • Competitive salary
  • Premium healthcare package, including PVI insurance & annual health check-ups
  • 13th-month salary & performance bonuses to reward your contributions
  • Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool...
  • Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain
Work Location: Technopark Tower, Vinhomes Ocean Park, Gia Lam, Hanoi, Vietnam

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