About Bybit
Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class.Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner.
As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space.
Responsibilities
- Participate in the planning and development of AI customer service products; assist in mapping out user scenarios, product workflows, and feature requirements.
- Research the application of Large Language Models (LLMs) and AI Agents, covering areas such as Prompt Engineering, RAG, Tool Calling, Workflow Design, and Evaluation.
- Design and continuously optimize AI solutions based on real business problems; drive solution testing and deployment.
- Analyze user feedback and bad cases to identify issues in models, knowledge bases, workflows, or product experience.
- Monitor key metrics including self-service resolution rate, user satisfaction, and response time; evaluate product performance through data analysis.
- Stay up to date with AI industry trends and product developments; quickly learn and validate new models, frameworks, and product approaches.
- Collaborate with engineering, algorithm, operations, and customer service teams to drive project delivery.
Requirements
- Major in Computer Science, Artificial Intelligence, Data Science, or related fields preferred.
- Strong interest in and foundational understanding of LLMs and AI Agents; able to clearly explain core concepts such as Prompt Engineering, RAG, Tool Calling, and Workflow.
- Fast learner who can proactively research unfamiliar technologies or business problems, form quick judgments, and validate ideas hands-on.
- Strong product thinking — able to start from user problems and work through requirement breakdown, solution design, and outcome validation.
- Clear logical thinking with strong skills in structured analysis, communication, and cross-functional collaboration.
- Highly execution-oriented and accountable; comfortable working in a fast-paced environment with occasional cross-timezone collaboration.
Nice to Have
- Experience with AI products, Agents, Chatbots, Copilots, or related projects.
- Hands-on experience with mainstream LLMs or Agent development platforms, including Prompt tuning, RAG, evaluation, or tool calling.
- Programming or data analysis skills; able to use Python, SQL, or similar tools for basic validation.
- Experience in customer service, service experience design, or user operations; lack of CS experience will not affect your application.
- Excellent English proficiency — able to read technical documentation in English and communicate with overseas teams both in writing and verbally.
- Interest in or experience with Web3, FinTech, or global products.