Binance's 6-month accelerator program offers hands-on experience building LLM-based agents for Web3 token research and trading scenarios. The role involves designing AI agents, prompt engineering, and experimenting with agent coordination strategies using Python and orchestration frameworks.
- Remote scope
- Asia
What you need
- Strong background in data science, machine learning, or computer science
- Proficiency in Python and data processing pipelines
- Experience with agent orchestration (planning, routing, tool use, or multi-agent collaboration)
- Experience using LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks
- Experience using RAG, vector databases, and evaluation of agent systems
What you will own
- Design and develop LLM-based agents for Web3 scenarios
- Build agents for token research and summarization
- Assist in developing and evaluating trading agents using market and on-chain data
- Experiment with prompt engineering, agent coordination strategies, and memory management
Core skillsPythonLLM/Agent DevelopmentPrompt EngineeringLangChainLangGraphLlamaIndexRAGVector DatabasesWeb3Data Processing
Remote policyWork-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About Binance Accelerator Program (BAP)
Binance Accelerator Program is a concise 6-months program designed to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world' s leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. You will be hired under a junior fixed term contract.
Who may apply
current students and recent graduates who can work full-time for a period of 6 months.
Responsibilities
Responsibilities
Design and develop LLM-based agents for Web3 scenarios
Build agents for token research and summarization
Assist in developing and evaluating trading agents using market and on-chain data
Experiment with prompt engineering, mcp, memory, and agent coordination strategies
Requirements
Strong background in data science, machine learning, or computer science
Proficiency in Python and data processing pipelines
Experience with agent orchestration, such as planning, routing, tool use, or multi-agent collaboration.
Experience using LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.
Experience using RAG, vector databases, and evaluation of agent systems
Nice to Have
Familiarity with Web3 / Crypto
Experience with trading systems, backtesting, or market data
Additional
Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
