About the Company
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.
About the Role In this role, you will be instrumental in AI 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.
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).
Qualifications
Education: Bachelor's degree or higher in Computer Science, IT, Data Science, Applied Mathematics, or related fields. Strong technical English proficiency.
Required Skills
Experience: Minimum 5 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.
Preferred Skills
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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