资深大模型算法工程师(新加坡)70k-80k · 14薪
北京硕士及以上5-10年
现寻访一名经验丰富的大模型算法工程师,专注于特定领域大语言模型(LLM)、自然语言处理(NLP)以及检索增强生成(RAG)。该候选人需要具备扎实的AI模型开发能力,并能够带领AI产品创新,推动业务增长。
核心职责
- 开发和优化特定领域的LLM,提升模型的准确性和应用效果。
- 强化NLP能力,包括文本生成、语义理解和智能检索。
- 实现和优化RAG技术,提升信息检索和生成内容的上下文质量。
- 与 跨部门团队(工程、产品、业务团队)紧密合作,定义AI驱动的产品策略。
- 设计并实施 可扩展的AI架构,确保高性能与成本优化。
- 关注 AI和LLM领域的最新技术发展,并将前沿研究应用于实际业务场景。
- 领导 LLM驱动的产品开发,推动业务增长。
任职要求
- 计算机科学、人工智能、自然语言处理等相关领域的硕士或博士。
- 7-10算法工程相关经验以及至少2年LLM相关经验。
- 具备LLM微调、特定领域适配、NLP模型部署的丰富经验。
- 掌握RAG技术及向量检索工具(如FAISS、Milvus、Weaviate)。
- 熟练使用 Python、PyTorch、TensorFlow 或其他AI开发框架。
- 了解LLM推理优化技术(如LoRA、量化、蒸馏)。
- 熟悉云端AI模型部署(AWS, GCP, Azure)。
- 具备领导AI产品研发的能力,能与业务团队紧密合作。
- 具有优秀的分析和解决问题能力,关注AI对业务的实际影响。
优先考虑
- 具备特定领域AI模型(如金融、医疗、法律、电商等)的开发经验。
- 熟悉知识图谱、嵌入技术、多模态AI集成。
- 发表过AI相关研究论文或参与过开源项目。
加入我们的理由
- 参与最前沿的AI项目,实现真正的业务价值。
- 充满创新氛围的团队,重视技术突破和个人成长。
- 具备竞争力的薪资待遇和职业发展空间。
Job Description
We are looking for an experienced LLM Engineer who specializes in specific-domain large language models (LLMs), NLP, and Retrieval-Augmented Generation (RAG). The ideal candidate will have a strong technical background in AI model development and the ability to lead product innovation to drive business growth.
Key Responsibilities
- Develop and optimize specific-domain LLMs to improve accuracy and efficiency in real-world applications.
- Enhance NLP capabilities, including text generation, understanding, and semantic search.
- Implement and refine RAG techniques to improve the retrieval and contextual augmentation of AI-generated content.
- Work closely with cross-functional teams (engineering, product, and business teams) to define AI-driven product strategies.
- Design and execute scalable AI architectures, ensuring performance and cost-effectiveness.
- Stay up-to-date with advancements in AI and LLMs and apply cutting-edge research to business applications.
- Drive LLM-powered product development that contributes directly to business growth.
Requirements
- Master’s or PhD in Computer Science, AI, NLP, or related fields.
- 7-10 years experience in AI and machine learning with at least 2 years in LLM.
- Strong hands-on experience with LLM fine-tuning, domain-specific adaptation, and NLP model deployment.
- Expertise in RAG methodologies and vector search technologies (e.g., FAISS, Milvus, Weaviate).
- Proficiency in Python, PyTorch, TensorFlow, or other AI frameworks.
- Experience with LLM inference and optimization techniques (e.g., LoRA, quantization, distillation).
- Familiarity with cloud-based AI model deployment (AWS, GCP, Azure).
- Ability to lead AI-driven product development and work closely with business teams.
- Excellent problem-solving and analytical skills with a strong focus on business impact.
Preferred Qualifications
- Experience working on vertical-specific AI models (e.g., finance, healthcare, legal, or e-commerce).
- Knowledge of knowledge graphs, embeddings, and multi-modal AI integration.
- Track record of publishing AI research or contributing to open-source projects.
Why Join Us?
- Work on cutting-edge AI projects with real-world business impact.
- Join a dynamic team that values innovation and technical excellence.
- Competitive compensation package and career growth opportunities.