LLM Engineer (Senior / Intermediate / Junior)

Hong Kong 3 days agoFull-time External
Negotiable
智能体(Code Agent)全栈工程师(高/中/初級)Full-Stack Code Agent Engineer (Senior / Intermediate / Junior) (香港/深圳, Hong Kong/ Shenzhen) 职责: 1. 负责智能体(Agent)的算法设计与实现,包括任务规划、工具调用、记忆机制、交互优化等模块; 2. 参与大型语言模型在代码智能领域的应用研发,构建下一代端到端Code Agent系统,对标Claude Code; 3. 熟悉Claude Code/DeepResearch/Manus等Agent产品技术架构 要求: 1. 硕士及以上学历,电子工程、计算机科学、数学等相关专业; 2. 有研发Agentic系统和模型的成功经验; 3. 具备出色的编程与工程实现能力; 4. 高/中/初级按实际经验而定 Responsibilities 1. Design and implement Agent algorithms, covering modules such as task planning, tool invocation, memory mechanisms, and interaction optimization. 2. Contribute to applying large language models in code intelligence; build the next-generation end-to-end Code Agent system benchmarking against Claude Code. 3. Be familiar with the technical architectures of Agent products such as Claude Code, DeepResearch, and Manus. Requirements 1. Master’s degree or above in Electrical Engineering, Computer Science, Mathematics, or related fields. 2. Proven experience in developing agentic systems and models. 3. Strong programming skills and engineering execution capability. 4. Senior/Intermediate/Junior levels will be determined based on actual experience. AI多模态算法科学家AI Multi-modal Algorithm Scientist (香港/深圳, Hong Kong/ Shenzhen) 职责: 1. 负责多模态的算法模型设计与实现,包括视觉、语言模型的选型、SFT和调优; 2. 参与多模态模型在智能体领域的应用研发,构建下一代端到端多智能体系统。 要求: 1. 硕士及以上学历,电子工程、计算机科学、数学等相关专业; 2. 熟悉当前主流 LLM/VLM/VLA/强化学习技术原理、模型架构背景; 3. 具备大模型各阶段训练、微调或工程化经验优先; 4. 在CVPR,NIPS,ICLR、ACM、IEEE Transaction等顶会有相关论文发表者优先。 Responsibilities 1. Design and implement multimodal algorithmic models, including model selection for vision and language, supervised fine-tuning (SFT), and optimization. 2. Contribute to applying multimodal models in the agent domain; build the next-generation end-to-end multi-agent system. Requirements 1. Master’s degree or above in Electrical Engineering, Computer Science, Mathematics, or related fields. 2. Familiarity with the principles and architectures of mainstream LLM/VLM/VLA/Reinforcement Learning technologies. 3. Experience in training, fine-tuning, or productionizing large models at various stages is a plus. 4. Publications in top-tier venues such as CVPR, NeurIPS, ICLR, ACM, or IEEE Transactions are preferred. • *Work location for the below openings is Shenzhen/Wuhan** • *以下職位的工作地點位於深圳/武漢** 大模型数据和评测算法工程师(高/中/初級)Large-Model Data and Evaluation Algorithm Engineer (Senior / Intermediate / Junior) 职责: 1. 主导设计并实施算法评估体系,制定多维评测指标(如准确性、鲁棒性、泛化性、生成质量量化等); 2. 主导数据治理设计和知识体系建设,针对算法应用场景运用统计学方法量化指标的置信区间及数据采样要求,为模型评估提供科学的数据支撑 3. 深度参与算法研发全流程,管理训练和测试数据质量,执行算法评估并输出高信度的评测报告引导算法优化 4. 建立评估-反馈-迭代-线上效果监测的闭环优化机制。 要求: 1. 计算机/工程/数学等相关专业本科以上; 2. 有大模型数据构建和评测经验者优先 3. 高/中/初级按实际经验而定 Responsibilities 1. Lead the design and implementation of algorithm evaluation frameworks; define multi-dimensional metrics (e.g., accuracy, robustness, generalization, and quantified generation quality). 2. Own data governance design and knowledge system building; apply statistical methods to quantify metric confidence intervals and data sampling requirements for specific application scenarios, providing scientific data support for model evaluation. 3. Participate deeply across the algorithm R&D lifecycle; manage training and test data quality, execute algorithm evaluations, and deliver high-confidence evaluation reports to guide algorithm optimization. 4. Establish a closed-loop optimization mechanism covering evaluation–feedback–iteration–online performance monitoring. Requirements 1. Bachelor’s degree or above in Computer Science, Engineering, Mathematics, or related fields. 2. Experience in constructing and evaluating datasets for large models is preferred. 3. Senior/Intermediate/Junior level determined by actual experience. UI智能体开发工程师(高/中/初級)UI Agent Development Engineer (Senior / Intermediate / Junior) 职责: 1. 负责UI智能体(Agent)的算法实现,包括任务规划、工具调用、异常检测等模块; 2. 参与UI智能体领域的应用研发,有研发Agentic系统和模型的成功经验; 3. 具备出色的编程与工程实现能力 要求: 1. 硕士及以上学历,电子工程、计算机科学、数学等相关专业; 2. 高/中/初级按实际经验而定 Responsibilities 1. Implement algorithms for UI Agents, covering modules such as task planning, tool invocation, and anomaly detection. 2. Contribute to application R&D in the UI Agent domain, with proven experience building agentic systems and models. 3. Demonstrate strong programming skills and solid engineering execution. Requirements 1. Master’s degree or above in Electrical Engineering, Computer Science, Mathematics, or related fields. 2. Senior/Intermediate/Junior level determined by actual experience.