Artificial Intelligence

• 以大模型（LLM）作为核心组件，参与构建具备“思考、调用、执行”能力的后端业务系统，将产品需求与思维链转化为稳定、可扩展的 Agentic Workflow（智能体工作流）。
• 负责 AI Agent 的编排与工程化落地，包括模型调用、工具调用（Tool-calling）、多步推理、状态管理与异常处理，保障复杂业务流程的稳定执行。
• 参与模型接入、推理服务、RAG 与数据处理等核心模块建设，推动 AI 能力在真实业务场景中的规模化应用。
• 针对高并发、高可靠场景，对 AI 系统进行性能优化与工程治理，包括流式响应、异步调度、缓存策略与成本控制。
• 与产品、前端、算法及平台团队协作，持续优化 AI 系统的研发效率与交付质量，在复杂问题中独立推进模块级方案落地。

AI 产品经理, 金融投研数据方向

• 负责海量通用大模型（如 OpenAI, Anthropic, DeepSeek 等）的标准化接入、适配与封装，统一输出高兼容性的标准化 API 接口，彻底解决多模型版本兼容与调用不一致痛点。
• 设计并持续迭代 AI 流量路由策略，主导智能路由、动态负载均衡（Load Balancing）、并发限流（Rate Limiting）、模型降级与故障熔断机制的设计，保障平台在极端高并发下的绝对稳定性。
• 构建企业级 AI 权限体系、多租户账号体系、调用配额管理以及精细化的 Token 计费账单（Metering & Billing）、日志审计与风控防刷系统，支撑 B 端企业与 C 端用户的大规模商业化接入。
• 协同研发、测试、运维团队高效推进版本迭代，梳理全链路业务流，跟进线上问题闭环，持续优化中转平台的吞吐量性能与综合成本结构（Cost Optimization）。
• 跟踪全球 AI 产业动态与模型迭代趋势，将客户痛点转化为标准化的中台能力，对内赋能多元业务线，对外实现高价值的商业化输出。

AI产品经理 – AI Router方向

• Making well-reasoned editorial decisions on submitted manuscripts in the light of expert advice, following the journal’s editorial policy and standards.
• Contribute developing editorial policies and guidelines for research involving AI and computational sciences, with a focus on open science.
• Make accepted manuscripts accessible to a broad computer science readership by advising authors on titles, abstracts, introductions, and structure, as well as ensuring high overall reporting standards.
• Help recruit, support, and engage a team of external editors, guiding and assisting them with the tasks listed above and ensuring they understand and implement the journal’s philosophy and policies.
• Commissioning various content including Reviews, Perspectives and Comment articles.
• Attend conferences and meetings and visit research institutions (in agreement with the Chief Editor) and report on these activities.
• Broadcast published works by curating and suggesting publications for press releases or Research Highlights.
• Contribute editorial content to special projects or collections as agreed with the Chief Editor.

Associate or Senior Editor, Communications AI & Computing

• Supports technical sales by providing product expertise
• Assisting in solution design
• Engaging with customers to address technical requirements
• Collaborates with sales and engineering teams to develop demonstrations
• Responding to customer feedback
• Contributes to the promotion of Intel technologies across various industries
• Learns and applies knowledge
• Builds skills and explores future career opportunities through hands-on experience and projects

AI Technical Solution Specialist Intern

• Lead and oversee the implementation of Generative AI use cases including natural language processing and computer vision, leveraging your experience and knowledge in this domain.
• Provide expert guidance and support in designing, developing, and implementing Generative AI solutions, prompt engineering strategies to guide the foundation model's behavior and generate desired outputs.
• Take ownership of project management activities, including project planning, resource allocation, timeline management, risk assessment, and issue resolution.
• Collaborate closely with business stakeholders, product vendors, and other IT teams to gather requirements, define solution architectures, and ensure smooth integration into existing IT systems.
• Develop and execute comprehensive testing strategies to ensure the reliability, scalability, and performance of solutions.
• Create detailed technical documentation, user guides, and training materials to facilitate knowledge transfer and enable end-users to effectively leverage solutions.
• Proactively identify opportunities for process improvement, automation, and optimization.

Systems Development Manager – Generative AI, AVP, AI Systems

• Work in different departments of the organization to gain practical experience
• Gain hands-on experience and understand different operational functions
• Contribute to team projects by conducting research, compiling data, and creating presentations
• Assist with daily administrative tasks
• Attend training sessions and workshops
• Prepare and present reports summarizing learning and contributions

AI视觉实习生

• Develop and execute Robotiq’s Physical AI ecosystem strategy for China
• Map, segment, and prioritize China’s model builders, humanoid robotics companies, research labs, universities, robot OEMs, AI robotics startups, and advanced integrators
• Work with Robotiq’s Chinese reseller network to create a scalable go-to-market approach for Physical AI opportunities
• Enable resellers with technical positioning, demo guidance, account targeting, qualification questions, competitive messaging, and escalation processes
• Support resellers in strategic account development while maintaining clear channel alignment
• Build direct trusted relationships with selected high-influence accounts where Robotiq’s technical credibility and strategic positioning are critical
• Engage technical and business stakeholders through consultative, value-driven conversations
• Understand customer development environments and identify how Robotiq solutions can support manipulation, sensing, data collection, experimentation, benchmarking, flexibility, and deployment
• Identify design-in opportunities where Robotiq components can become part of model-builder platforms, humanoid development kits, robotics labs, demo cells, or deployment architectures
• Provide advanced technical-commercial support for Physical AI opportunities in collaboration with Robotiq applications and product teams
• Organize and support reseller-led workshops, demos, technical sessions, customer visits, and ecosystem events

Physical AI Ecosystem & Channel Enablement Manager

• Make well-reasoned editorial decisions on submitted manuscripts
• Develop editorial policies and guidelines for AI and computational sciences
• Advise authors on manuscript titles, abstracts, introductions, and structure
• Recruit and support a team of external editors
• Commission various content including Reviews and Comment articles

Associate/Senior Editor, Communications AI & Computing

• Design, build, and validate benchmarks for Terminal-Bench tasks.
• Create high-signal, high-quality tasks in your native language.
• Find failure points in AI processing in your native language.
• Support the development of robust solutions and write reliable verifier scripts.
• Analyze execution logs and calibrate task difficulty.
• Participate in a 4-layer quality control process alongside automated checks.

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