**About the company**
VinSmart Future (VSF) is Vingroup's technology company, formed by merging the Group's entire technology ecosystem. As a core driver of Vingroup's future growth, VSF is AI\-first \- with artificial intelligence as the foundation of everything we build. With a talented team of nearly 4,000 local and international technology experts, VSF focuses on creating high\-utility technologies that enhance lives and connect data, models, and infrastructure to unlock new possibilities.
**Responsibilities**
- Research, design, develop, and deploy AI/ML models and AI\-powered products for real\-world, real\-time, and large\-scale applications.
- Build AI solutions across
**Generative AI, Large Language Models (LLMs), RAG, Agentic AI, NLP, and Computer Vision**
.
**AI Agents and Agentic AI systems**
capable of reasoning, planning, tool calling, workflow execution, and autonomous task handling.
- Build applications powered by
**LLMs, RAG pipelines, semantic search, enterprise knowledge bases, and intelligent question\-answering systems**
.
**guardrails, validation, fallback mechanisms, monitoring, logging, and tracing**
to ensure reliability and quality.
- Develop scalable pipelines covering
**data processing, model training, fine\-tuning, evaluation, inference, and production deployment**
.
- Develop AI services and APIs using
**Python, FastAPI, Flask, gRPC, or equivalent technologies**
.
- Integrate AI/LLM solutions with internal systems, enterprise data sources, APIs, databases, and business platforms.
- Evaluate AI models and applications based on
**accuracy, relevance, latency, cost, reliability, and user experience**
.
- Optimize AI models and services for
**performance, scalability, latency, and deployment efficiency**
.
- Monitor, troubleshoot, and continuously improve AI systems running in production.
- Collaborate with
**AI Researchers, Software Engineers, Product Owners, Business Analysts, Data Engineers, and business stakeholders**
to deliver end\-to\-end AI solutions.
- Research and experiment with emerging technologies in
**Generative AI, Agentic AI, NLP, Computer Vision, and AI automation**
.
- Contribute to technical innovation, system design, research, and continuous improvement of AI engineering practices.
**Requirements**
- Bachelor's or Master's degree in
**Computer Science, Artificial Intelligence, Data Science, Information Technology, Software Engineering**
, or a related field.
**3 years of experience**
in AI Engineering, Machine Learning, NLP, Computer Vision, Generative AI, or AI product development.
**Python**
and hands\-on experience with modern deep learning frameworks such as
**PyTorch, TensorFlow, Hugging Face, Unsloth**
, or equivalent.
**Machine Learning, Deep Learning, NLP, Computer Vision**
, and fundamental AI concepts including mathematics, probability, optimization, and model evaluation.
- Hands\-on experience developing and deploying
**AI/ML models or AI applications in production environments**
.
- Practical experience with one or more of:
**LLMs, RAG, Generative AI, Agentic AI, NLP, Computer Vision**
.
**prompt engineering, embeddings, vector databases, semantic search**
, or enterprise knowledge systems.
- Experience with AI/LLM frameworks such as
**LangChain, LangGraph, LlamaIndex, Semantic Kernel**
, or equivalent technologies.
**OpenAI, Claude, Gemini, or open\-source LLMs**
is a plus.
**AI agent architecture, tool calling, memory, planning, orchestration, and multi\-agent systems**
.
- Strong software engineering skills with experience in
**API development, FastAPI/Flask/gRPC, microservices, asynchronous programming, and scalable system architecture**
.
- Experience building reliable AI systems with
**concurrency management, caching, retry mechanisms, exception handling, logging, monitoring, and debugging**
.
**Docker, Kubernetes, Git, Linux, CI/CD**
, and cloud platforms such as AWS/GCP/Azure is a plus.
- Strong analytical thinking, problem\-solving, system design, and communication skills.
- Ability to translate business requirements into
**scalable, reliable, and production\-ready AI solutions**
.
- Ability to read and understand technical documentation in English.
**Preferred Qualifications**
- Experience building and operating
**Generative AI or Agentic AI systems in production**
.
**LLM/VLM training or fine\-tuning**
, including Unsloth, LlamaFactory, TRL, verl, or equivalent frameworks.
**vLLM, SGLang, TensorRT\-LLM**
, or other LLM serving technologies.
- Experience with vector databases such as
**Milvus, Qdrant, Weaviate, Pinecone, Elasticsearch, or PostgreSQL/pgvector**
.
- Experience deploying AI applications on
**AWS, Microsoft Azure, or Google Cloud Platform**
.
**MLflow, W\&B, MLOps, model monitoring, observability, and AI evaluation**
.
**guardrails, hallucination mitigation, model safety, and AI cost optimization**
.
**distributed training or large\-scale data processing**
.
- Experience with workflow automation/orchestration tools such as
**n8n, Airflow**
, or equivalent.
**recommendation systems, search engines, OCR, Document AI, or multimodal AI**
.
- Experience developing AI products for
**enterprise, consumer applications, customer service, sales, operations, or business process automation**
.
- Experience working across multiple domains and adapting AI solutions to different business requirements.
- Contributions to
**research papers, open\-source projects, or ML/AI communities**
are a plus.
- Strong product mindset, continuous learning attitude, and ability to work effectively in a fast\-paced environment.
**Benefits**
- Competitive income and attractive bonus package.
- Lunch allowance.
- Preferential rates across the Vingroup ecosystem, including
**Vinschool, Vinmec, Vinpearl, VinFast, and Vinhomes**
, according to Group policies.
- Full statutory insurance coverage, plus company\-provided personal healthcare insurance based on position level.
- Periodic health check\-ups at reputable hospitals and healthcare centers.
- Opportunity to work on
**strategic, large\-scale AI and technology projects**
.
- Work alongside scientists, AI researchers, and engineers from leading technology companies in Vietnam and worldwide.
- Free access to internal workshops, certification sponsorship, and mentoring programs.
- Opportunities to participate in technology clubs and internal tech events.
- Training opportunities to become an
**Internal Trainer**
and share your expertise.
- 12 annual leave days, plus public holidays and Tết according to regulations.
**Work Location**
📍
**Hanoi:**
Technopark Building, Vinhomes Ocean Park, Hanoi
📍
**Ho Chi Minh City:**
Vincom Đồng Khởi, HCMC
