<div class="content-intro"><p>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, and more. Our mission is to increase the freedom of money and financial access for people around the world.</p></div><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">We are seeking a highly skilled professional to join our team, focusing on advancing through <strong>innovative AI solutions.</strong> </span></p> <p> </p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">The successful candidate will <strong>develop and refine Large Language Models (LLMs)</strong> to extract actionable insights, improve business decision-making, and optimize prompt design for more accurate outputs. Additionally, the role includes creating scalable and robust LLM/RAG frameworks tailored to customer service scheduling, fostering innovation and maintaining a competitive market edge.</span></p> <p> </p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>This role is 100% Remote, Work from Home based.</strong></span></p> <p> </p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Responsibilities: </strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Own the full LLM pipeline from data preparation to production real case usage.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Design, iterate and optimize prompts (zero-/few-shot, chain-of-thought, tool-calling, etc.) to maximize model utility and safety across products and languages.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Familiar with vLLM/SGLang inference architectures and have proven experience deploying and operating LLM services on multi‑GPU or cluster environments.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Design, implement and operate multi‑agent LLM architectures (e.g. LangGraph, CrewAI, AutoGen) including task decomposition, agent orchestration, memory sharing and tool‑calling workflows.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Develop evaluation pipelines (automatic metrics & human feedback) to measure prompt and model quality, bias, and hallucination rates.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Collaborate with product and CS teams to integrate AI models into conversational Chatbot in different scenarios.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Track cutting-edge research, author tech blogs, and keep improve current architecture. </span></li> </ul> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Requirements: </strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Master’s Degree or higher in Computer Science, Data Science or related field..</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>At least 2 years</strong> of deep-learning/NLP experience, including <strong>1+ year practical LLM work</strong> (SFT, DPO, RAG, quantization, inference optimization, etc.).</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Demonstrated <strong>prompt engineering & tuning</strong> expertise (few-shot design, structured prompting, prefix-/p-tuning, reward re-ranking, safety filtering).</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Practical experience building and deploying multi‑agent LLM workflows, with understanding of agent‑orchestrator patterns, shared memory, long‑horizon planning and guard‑rail design.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"&