about the company.AI-Native生物科技公司about the team.AI 团队about the job.制定 AI Agent 战略:规划公司级 AI 数字员工架构,定义 Agent 能力边界、协作模式与进化路径。搭建 Agent 基础设施:设计并落地多 Agent 编排系统(网关、调度、监控、评估),构建 Agent 全生命周期管理平台。推动人机协同融合:定义人机协作的工作流范式(审批、交接、升级、复核),持续提升组织整体效率。带队研发与工程迭代:领导 AI 工程团队,持续优化 Agent 的推理能力、工具调用、长程任务执行与可靠性。评估与引入前沿技术:跟踪 LLM、Agent、RAG 及多模态等前沿方向进展,做客观准确的技术选型判断。建设 AI Native 文化:在公司内部推广 AI Native 理念,赋能各业务团队理解与使用 Agent 系统。skills and experience required.经验要求:5 年以上 AI / 工程经验,且具备 2 年以上开发
about the company.AI-Native生物科技公司about the team.AI 团队about the job.制定 AI Agent 战略:规划公司级 AI 数字员工架构,定义 Agent 能力边界、协作模式与进化路径。搭建 Agent 基础设施:设计并落地多 Agent 编排系统(网关、调度、监控、评估),构建 Agent 全生命周期管理平台。推动人机协同融合:定义人机协作的工作流范式(审批、交接、升级、复核),持续提升组织整体效率。带队研发与工程迭代:领导 AI 工程团队,持续优化 Agent 的推理能力、工具调用、长程任务执行与可靠性。评估与引入前沿技术:跟踪 LLM、Agent、RAG 及多模态等前沿方向进展,做客观准确的技术选型判断。建设 AI Native 文化:在公司内部推广 AI Native 理念,赋能各业务团队理解与使用 Agent 系统。skills and experience required.经验要求:5 年以上 AI / 工程经验,且具备 2 年以上开发
about the company.AI for Science.about the team.IT Operation.about the job.1. Own the architecture and day-to-day management of our multi-cloud environment across AWS, Azure, and other cloud providers — covering networking, security, cost, and workload placement.2. Design and build AI Agent solutions end-to-end, from use-case scoping through production deployment and evaluation.3. Partner with internal teams to drive AI transformation — identify high-value
about the company.AI for Science.about the team.IT Operation.about the job.1. Own the architecture and day-to-day management of our multi-cloud environment across AWS, Azure, and other cloud providers — covering networking, security, cost, and workload placement.2. Design and build AI Agent solutions end-to-end, from use-case scoping through production deployment and evaluation.3. Partner with internal teams to drive AI transformation — identify high-value
about the company.AI for Science.about the team.Information Technology.about the role.Our client is hiring a Post-Training / LLMOps Engineer to own the training infrastructure behind our next generation of scientific foundation models and to help drive the post-training that runs on top of it. This role is the systems backbone for post-training state-of-the-art open models — including leading frontier models such as Qwen, DeepSeek, GLM, Kimi, and MiniMax —
about the company.AI for Science.about the team.Information Technology.about the role.Our client is hiring a Post-Training / LLMOps Engineer to own the training infrastructure behind our next generation of scientific foundation models and to help drive the post-training that runs on top of it. This role is the systems backbone for post-training state-of-the-art open models — including leading frontier models such as Qwen, DeepSeek, GLM, Kimi, and MiniMax —
let similar jobs come to you
We will keep you updated when we have similar job postings.
Thank you for subscribing to your personalised job alerts.