Software Backend Engineer (Java) - Artificial Intelligence
币安是全球领先的区块链生态系统，在交易量和注册用户数目下排名为世界最大的加密货币交换。我们受100多个国家的30000多万人信任，因为我们的行业领先的安全性，用户基金透明度，交易引擎速度，流动性深入，以及数字资产产产品的无与伦比组合。比南安的提供范围从贸易和金融到教育，研究，支付，机构服务，Web3功能等。我们利用数字资产和区块链的能力来建立一个包容性的金融生态系统以促进货币自由并改善世界各地的人们的财务访问。我们正在寻找一个高技能专业人员加入我们的团队，重点关注通过创新的人工智能解决方案取得进展。成功的候选人将开发和完善大型语言模型 (LLM) 来提取可行的见解，改善商业决策，并优化快速设计以获得更准确的输出。此外，该角色包括创造适合客户服务安排的可扩展和强大的 LLM/RAG 框架，促进创新和保持竞争力市场优势。这个职位是100%远程，从家工作。责任 ·自主使用数据准备到生产实例的整个 LLM 管道。· 设计，重复和优化提示 （零/少数截图，思想链，工具调用等）来最大限度地提高模型的实用性和安全性在产品和语言中。· 建立和维护与多源知识基础连接的检索增强代数量测试系统。·熟悉 vLLM/SGLang 推理架构，并且有经验证明在多 GPU 或集群环境下部署和运行 LLM 服务。· 设计和实施并运营多程序员 LLM 架构 （例如 LangGraph, CrewAI, AutoGen）,包括任务分解，代理编排，存储器共享和工具调用工作流程。· 开发评估管道 （自动计量和人类反）以测量快速的模型质量，偏见和幻觉率。· 与产品和 CS 团队合作，在不同场景中将 AI 模型集成到对话聊天机器人中。· 追踪尖端研究，作者技术博客，并不断改善当前建筑。要求 ·计算机科学，数据科学或相关领域以上学历.. ·至少2年的深度学习/NLP 经验，包括1年以上实践 LLM 工作 (SFT,DPO,RAG,quantum).
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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.
We are seeking a highly skilled professional to join our team, focusing on advancing through innovative AI solutions.
The successful candidate will develop and refine Large Language Models (LLMs) 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.
This role is 100% Remote, Work from Home based.
Responsibilities
- Own the full LLM pipeline from data preparation to production real case usage.
- Design, iterate and optimize prompts (zero-/few-shot, chain-of-thought, tool-calling, etc.) to maximize model utility and safety across products and languages.
- Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases.
- Familiar with vLLM/SGLang inference architectures and have proven experience deploying and operating LLM services on multi‑GPU or cluster environments.
- Design, implement and operate multi‑agent LLM architectures (e.g. LangGraph, CrewAI, AutoGen) including task decomposition, agent orchestration, memory sharing and tool‑calling workflows.
- Develop evaluation pipelines (automatic metrics & human feedback) to measure prompt and model quality, bias, and hallucination rates.
- Collaborate with product and CS teams to integrate AI models into conversational Chatbot in different scenarios.
- Track cutting-edge research, author tech blogs, and keep improve current architecture.
Requirements
- Master’s Degree or higher in Computer Science, Data Science or related field..
- At least 2 years of deep-learning/NLP experience, including 1+ year practical LLM work (SFT, DPO, RAG, quantization, inference optimization, etc.).
- Demonstrated prompt engineering & tuning expertise (few-shot design, structured prompting, prefix-/p-tuning, reward re-ranking, safety filtering).
- Practical experience building and deploying multi‑agent LLM workflows, with understanding of agent‑orchestrator patterns, shared memory, long‑horizon planning and guard‑rail design.
- Proficient in both English and Chinese communication for efficient cross team collaboration
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.
Originally posted on Himalayas