AI Engineer
Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 29, 2026. VinFast scores B on the Alion truth index.
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 With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/, you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection. To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.