Lead AI Engineer

1 week ago

Hanoi, Hanoi, Vietnam VinSmart Future Full time $120,000 - $240,000 per year
Top 3 reasons to join us
  • Competitive Salary & Benefits
  • Training course and certificates
  • The preferences when using the services of the Vin
Job description

About the Role

We are seeking a Lead AI Engineer to spearhead the development of large-scale AI systems and define the next generation of intelligent, human-centered products.

In this role, you will take ownership of designing, training, and deploying cutting-edge Large Language Models (LLMs), Vision-Language Models (VLMs), and Generative AI solutions that create measurable business and user impact.

Depending on your expertise, you will lead initiatives in one of the following areas:

Track 1 – Vision & Multimodal AI

  • Design, train, and evaluate Vision-Language Models (VLMs) optimized for practical, high-impact use cases.
  • Build robust and scalable data and model pipelines, ensuring reproducibility and strong benchmark performance.
  • Lead the research and deployment of visual understanding systems such as face liveness detection and anti-spoofing.
  • Mentor engineers and foster a culture of technical excellence, innovation, and autonomy within the AI team.

Track 2 – Generative AI & LLM Systems

  • Architect and deliver end-to-end generative AI solutions leveraging state-of-the-art foundation models (e.g., GPT, Claude, Llama, Mistral).
  • Build and scale production-grade AI applications — including conversational agents, generative content systems, and intelligent automation platforms.
  • Develop and optimize LLM fine-tuning pipelines, prompt engineering workflows, retrieval-augmented generation (RAG), and alignment techniques.
  • Collaborate closely with cross-functional teams — including ML engineers, data scientists, and product leaders — to integrate AI seamlessly into products.
  • Establish and maintain MLOps best practices for AI lifecycle management: model versioning, deployment, monitoring, and continuous improvement.
  • Provide strategic and technical leadership in emerging generative AI frameworks and methodologies.
  • Continuously evaluate and experiment with new research, architectures, and open-source models to sustain innovation and efficiency.
  • Excercise responsible AI practices, ensuring fairness, privacy, transparency, and safety in all systems.
Your skills and experience

Qualifications

  • Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related disciplines.
  • 5+ years of professional experience in AI/ML, with at least 3 years of deep specialization in one of the following domains:
  • Computer Vision / Multimodal AI (e.g., face recognition, anti-spoofing, VLMs, or generative vision models), OR
  • Large Language Models / Generative AI (e.g., transformer-based LLMs, conversational AI, or RAG systems).
  • Advanced proficiency in Python, with strong experience using frameworks such as PyTorch, HuggingFace Transformers, LangChain, or equivalents.
  • Hands-on experience deploying AI systems at scale using AWS, GCP, or Azure cloud environments.

Preferred Qualifications:

  • Recognized contributions to AI research or competitive achievements (e.g., Kaggle, open-source projects).
  • Proven success in building and shipping production AI systems with large user impact.
  • Demonstrated leadership and mentoring skills, with the ability to guide teams through complex AI initiatives.
Why you'll love working here

We're passionate about building AI that delivers real value — not just prototypes.

You'll join a team that thrives on experimentation, data-driven decision-making, and constructive debate. Here, innovation, collaboration, and curiosity are encouraged — and the best ideas always win.

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