The Role
Develop and deploy LLM-based conversational and multi-agent systems for automotive domains. Fine-tune and evaluate LLMs, implement RAG/knowledge bases, design agent orchestration, optimize models for edge devices, build personalization and proactive features, and ensure safety, evaluation, and production-grade MLOps/LLMOps.
Summary Generated by Built In
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
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.
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.
Skills Required
- Minimum 3 years hands-on experience in AI projects, specifically LLM/NLP and agentic systems
- Mastery of Transformer/LLM architectures, fine-tuning (SFT, LoRA/PEFT), RLHF/DPO, RAG, function calling, and prompt/context engineering
- Practical experience optimizing and deploying models on edge/embedded devices using TensorRT, ONNX Runtime, or TFLite
- Proficiency in Python and frameworks such as PyTorch, HuggingFace, and vLLM
- Experience bringing models to production: MLOps/LLMOps, containerization, model serving, and monitoring
- Ability to develop AI guardrails, build evaluation benchmarks, and ensure stable production operation
- Bachelor's degree or higher in Computer Science, IT, Data Science, Applied Mathematics, or related field
- Strong technical English proficiency
- Experience in Speech (ASR, TTS, Voice Cloning, Wake-word Detection, Voice Biometrics), Computer Vision, or Automotive/IVI/Embedded real-time domain
- Publications at top-tier conferences or open-source contributions related to LLM/multi-agent systems
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The Company
What We Do
VinFast is a Vietnamese multinational automotive manufacturer, established in 2017, that designs and manufactures electric vehicles (EVs), e-scooters, and e-buses. It is part of Vingroup, one of Vietnam's largest conglomerates.
