Algorithm Engineer (LLM Systems)

Build Domain AI for the Future of Crypto About Gate

Gate is one of the world’s leading cryptocurrency exchanges, serving millions of users globally and ranking among the top exchanges by trading volume. We believe the next generation of crypto platforms will be AI-native. Instead of simply integrating AI features, we are building systems where large language models, AI agents, and intelligent automation become core platform capabilities.

Our goal is to create domain-specialized AI systems for finance and crypto, enabling users to access information, insights, and decision-making tools in entirely new ways. If you are excited about building real AI systems used by millions, we would love to talk. The Role

We are looking for engineers who enjoy building and shaping domain AI systems. You will work on training, fine-tuning, and optimizing large language models, and turning them into practical AI capabilities across the platform.

This includes building systems such as:

Domain-specific AI assistants

AI knowledge and Q&A systems

AI copilots for financial insights

AI agent capabilities powered by large models You will collaborate closely with product and engineering teams to turn AI capabilities into real product systems. What You’ll Work On

Train, fine-tune, and optimize large language models

Design and implement model distillation pipelines to improve efficiency

Build domain AI systems such as assistants, copilots, and Q&A tools

Develop RAG architectures to integrate knowledge with LLMs

Optimize models for real production environments

Help shape how AI is integrated into a global crypto platform Who You Are

You might be a great fit if you come from one of these backgrounds:

LLM Training / Model Systems

Experience training or fine-tuning large language models

Familiar with SFT, RLHF, model distillation, or model optimization

Experience building domain-specific AI models Applied AI / AI Systems

Built AI assistants, AI copilots, or intelligent Q&A systems

Experience with RAG, knowledge systems, or AI agents

Experience building AI-powered products in real applications

We care most about engineers who build systems that work in production. Requirements

Strong background in Computer Science, AI, or Machine Learning

Hands-on experience developing LLM or deep learning systems

Strong experience with Python

Familiarity with PyTorch, Transformers, or similar frameworks

Strong engineering fundamentals and problem-solving ability

Fluency in both Mandarin and English is required, as this role involves collaboration with engineering teams in China. Nice to Have

Experience in finance, trading, quant, or Web3 applications

Experience building AI agents or complex AI systems

Experience with model distillation or inference optimization

Experience deploying AI systems at scale Why Join

Build domain AI systems for a global crypto platform

Work on real-world AI problems at scale

Collaborate with a global engineering team

Fully remote worldwide, with collaboration primarily during APAC hours (Beijing / GMT+8).

Competitive compensation If you are excited about building domain AI systems that power the future of finance, we would love to hear from you.