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 passionate about building vertical AI agents focused on Web3, cryptocurrency, or financial domains.

You will train, fine-tune, and optimizelarge language models using techniques like reinforcement learning, then deploy them as practical AI systems across the platform.

This includes developing:

Web3/crypto-focused AI agents
Financial AI assistants and copilots
Domain-specific Q&A and knowledge systems

You'll partner with product and engineering teams to integrate these AI capabilities into production products.

What You'll Work On

Train, fine-tune (SFT/RLHF), and optimize LLMs for Web3/finance use cases
Design model distillation pipelines for efficiency
Build vertical AI agents, assistants, copilots, and RAG-based systems
Conduct model reinforcement learning and related enhancements
Optimize for real-time production in a global crypto platform

Who You Are

You're a strong fit if you have:

Experience training/fine-tuning LLMs (SFT, RLHF, distillation, optimization)
Building domain-specific AI for finance, crypto, or Web3
Familiarity with RAG architectures and production deployment

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.

LLM Post-Training Engineer