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Principal AI Engineer
AI Engineer
As a Principal AI Engineer at Bybit, you will be a core member of the AI team, focusing on LLM Application Engineering and Personalized Recommendation Systems. You will lead the algorithm development for TradeGPT, optimize recommendation systems, and drive user growth through advanced AI capabilities.
About the role
Job Overview
This role is a core member of Bybit’s AI team, covering both LLM Application Engineering and Personalized Recommendation Systems. You will participate in the algorithm development of Bybit’s flagship AI product TradeGPT, lead end-to-end optimization of the recommendation system, and directly drive platform user growth and trading experience improvement through algorithmic capabilities.
Responsibilities
1. LLM & AI Agent Direction
- Responsible for core AI algorithm development and iteration of Bybit’s AI Agent application TradeGPT
- Integrate mainstream AI platforms (OpenAI, Anthropic, Google Gemini, open-source models, etc.) and build a unified model access layer
- Build a Prompt Engineering framework to continuously improve model output quality and stability
- Design and implement a RAG knowledge base retrieval system to support accurate Q&A and decision assistance in financial scenarios
- Participate in AI product architecture design and technology selection, driving the team’s overall AI engineering capability growth
2. Recommendation System Direction
- Responsible for recommendation system algorithm development, covering the full pipeline of recall, ranking, and re-ranking
- Build user and asset profiles, mining user trading behavior and interest features
- Focus on cutting-edge directions (LLM + recommendation, sequential recommendation, multi-objective optimization) to drive technical implementation
- Design A/B testing experiments and continuously improve recommendation performance metrics through data-driven approaches
Requirements
Basic Qualifications
- 3+ years of software engineering experience, including 1+ year of AI/ML related project experience
- Strong Python skills, familiar with mainstream AI frameworks such as LangChain and LlamaIndex
- Hands-on experience with LLM API integration (OpenAI / Claude / Gemini, etc.)
- Understanding of RAG architecture and vector databases (Pinecone, Weaviate, Qdrant, etc.)
- Familiar with machine learning fundamentals (LR, GBDT, DNN), with complete experience in feature engineering and offline training + online serving
- Good engineering practices: code quality, unit testing, CI/CD standards
Preferred Qualifications
- Experience with model fine-tuning (Fine-tuning / LoRA / RLHF)
- Familiar with MLOps toolchains (MLflow, Weights & Biases, etc.)
- Experience in Agent / Multi-agent system development
- Experience with big data processing (Spark / Hive / Flink)
- Understanding of AI safety and Responsible AI practices
- Experience with cloud platform AI services (AWS / GCP / Azure)
- Previous algorithm experience in finance, cryptocurrency, or trading scenarios is a plus