AI/LLM Engineer

We are partnering with a leading global technology company at the forefront of innovation to recruit for a pivotal role in their AI team. This is a unique opportunity to advance the practical application of Large Language Models (LLMs) and Multimodal AI within critical industrial verticals, working alongside top-tier research talent.

About the Role:

You will be instrumental in the end-to-end lifecycle of cutting-edge large models—from research and training to optimization and real-world deployment. Your work will bridge the gap between state-of-the-art AI research and impactful industrial solutions, directly shaping how next-generation AI integrates into complex business environments.

Key Responsibilities:
• Lead the training, fine-tuning (SFT), and system deployment of vertical domain-specific large models.
• Research and implement advanced model compression & optimization techniques (pruning, quantization, distillation) to enhance inference efficiency.
• Design and develop algorithms for RAG (Retrieval-Augmented Generation) and Agent modules to boost AI reasoning in dynamic scenarios.
• Drive the application of multimodal (vision-language) understanding technologies, such as Large Vision Models (LVM), for industrial use cases.
• Architect and build large-scale, high-quality industry datasets to support model pre-training, fine-tuning, and evaluation.
• Develop and maintain robust validation, evaluation, and performance monitoring frameworks for AI systems.
• Contribute to the development of large model application platforms and microservices to improve modularity and usability.

What We're Looking For (Must-Have):
• Master's or PhD in Computer Science, Mathematics, Electrical Engineering, Data Science, or a related field.
• Solid foundation in ML/DL, with in-depth understanding of Transformer architectures and hands-on experience in
end-to-end LLM training/development
.
• Proficient in
Python
and
PyTorch
ecosystem (e.g., Hugging Face, DeepSpeed, PEFT).
• Practical experience with
large model compression techniques
(pruning, quantization) and
inference optimization frameworks
(e.g., vLLM, Triton).
• Strong capability in large-scale data processing and familiarity with big data tools (e.g., Spark).
• Preferrably if you have Chat BI experience.

Bonus Points (Preferred):
• Hands-on experience in developing
RAG systems
and
AI Agent modules
.
• Knowledge of
CUDA programming
, distributed training, or hardware acceleration (GPU/TPU).
• Publications at top-tier AI conferences (NeurIPS, ICLR, CVPR, etc.).
• Experience with
Docker
,
FastAPI
, and enterprise-level model deployment pipelines.

What We Offer:
• The chance to work on
groundbreaking AI projects
with tangible real-world impact.
• Collaboration with
leading academic research teams
on cutting-edge explorations.
• A culture that values
technical excellence, innovation, and professional growth
.
• Competitive compensation
, comprehensive benefits, and a supportive work environment.