{
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    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "AI工程师（Agentic AI / 智能体）AI Agent",
        "job_level": "",AI生成
        "work_category": "",AI生成
        "department": "",
        "location": "广州·天河区·石牌",
        "work_mode": "",AI生成
        "job_category": ""AI生成
    },
    "company": {
        "company_name": "实嘉达科技",
        "company_industry": "计算机软件",
        "company_size": "20-99人",
        "company_website": "",
        "company_description": ""
    },
    "compensation": {
        "salary_range": {
            "min": 20000,
            "max": 30000,
            "currency": "CNY",
            "cycle": "month"
        },
        "benefits": ""
    },
    "requirements": {
        "working_years": 3,
        "degree": "学历不限",
        "language": "",AI生成
        "visa_support": "",
        "responsibilities": "",
        "requirements_text": "一、公司简介\n我们是一家外资企业，将在广州为客户设置办公地点，为客户提供优质的技术解决方案，期待符合条件的⼈员投递简历，因为是外国⼈⾯试，请确认具备英语沟通能力，能够使用英语参与⼯作讨论及面试（2026-10-6日新增要求）。\n二、招聘岗位\n岗位名称 招聘人数 薪资范围\nAI工程师（Agentic AI / 智能体）\t4人 20-30K/月\n三、岗位职责简介\nAI工程师（Agentic AI / 智能体）：至少3年相关经验；\n四、应聘要求\n● 具备英语沟通能力，能够使用英语参与工作讨论及面试（2026-10-6日新增要求）。\n● 请提供简洁清晰的简历（建议控制在2页以内），重点突出个人核心技能与项目经验，条理清晰，避免冗长堆砌无关信息。\n● 所声明的技能和工作经验必须可验证，面试环节将包含专业技能考核，请确保信息真实准确。\n● 投简历人员需要列出持有的证书有哪些，请在简历中详细列出所持有的各类专业证书。\n● 身体健康，无传染性疾病，面试通过需提供近期体检报告证明。\n五、面试流程\n第一轮：线上问答面试：通过视频或电话进行，主要考核专业技能与工作经验的真实性。\n第二轮：线下面试：最终录用面试，进一步评估候选人综合能力与岗位匹配度。\n注意：BOSS直聘上主要按以上职责要求筛选人员，所以请认真填写简历\n六、工作地点\n广州\n七、应聘方式\n请将个人简历发送至招聘邮箱或通过BOSS直聘平台直接投递简历。邮件主题请注明\"姓名+应聘岗位\"，我们将在收到简历后尽快与您联系。\n------------------------------------------------------------------------------------------------\n下面是我司需求的4个岗位的英文版招聘技术详细信息，供求职者请阅读参考：\nSenior Network Engineer (Huawei / L3 Support)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nWe are building a Guangzhou-based technical team to support enterprise projects in Singapore and the region. In this role, you will lead complex network troubleshooting and remote deployments, with Huawei networking as your core specialty.\nWhat you will do\nResolve L3 issues across enterprise, data centre and service provider networks.\nSupport Huawei CloudEngine, NetEngine and VRP environments, including routing, switching, performance and connectivity.\nPlan and carry out remote deployments, upgrades, migrations and cutovers.\nPrepare implementation plans, MOPs, configuration templates and troubleshooting guides.\nWork with Huawei TAC and other vendors, mentor engineers, and apply automation to network operations.\nWhat we are looking for\nAround 8 years or more of network engineering experience, with strong hands-on Huawei networking experience.\nAbility to troubleshoot complex issues independently; knowledge of BGP, OSPF, IS-IS, MPLS, EVPN/VXLAN, VLAN, VRRP and QoS.\nExperience supporting multi-site environments or remote deployments.\nHuawei HCIP or HCIE certification in a relevant networking track.\nBasic spoken and written English for work: able to explain a technical issue, discuss troubleshooting steps with Singapore colleagues, and write a short technical update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: Cisco, Juniper or Aruba; Python, Ansible or APIs; MSP environments; network automation or AI-assisted operations.\nSenior Cloud & Storage Engineer (Huawei Storage / L3 Support)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nJoin our Guangzhou-based team supporting cloud, storage and infrastructure projects for enterprise customers in Singapore and the region. You will provide L3 support, lead remote deployments and help integrate storage with virtualisation and container platforms.\nWhat you will do\nInvestigate complex storage, cloud and infrastructure incidents.\nSupport Huawei OceanStor, Dorado, Pacific and OceanProtect environments.\nWork across SAN/NAS, block, file and object storage; host connectivity; performance; replication; backup and disaster recovery.\nPlan and carry out remote deployments, expansions, upgrades, migrations and cutovers.\nSupport storage integration with virtualisation, Kubernetes and OpenShift.\nWrite MOPs and runbooks, mentor engineers, and improve infrastructure automation.\nWhat we are looking for\nAround 8 years or more of infrastructure, cloud or storage engineering experience, with strong hands-on Huawei storage experience.\nAbility to troubleshoot across storage, compute, network and virtualisation layers.\nExperience with enterprise or data centre storage and remote or multi-site deployments.\nHuawei HCIP Storage or HCIE Storage certification.\nBasic spoken and written English for work: able to describe a technical problem, discuss next steps with Singapore colleagues, and write a short status update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: Dell or HPE storage, Huawei Cloud, Red Hat Enterprise Linux, OpenShift, Kubernetes/CSI, Python, Ansible or infrastructure as code.\nAI Engineer (Agentic AI / GenAI)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nHelp build enterprise AI applications for customers in Singapore and the region. You will work on AI agents, retrieval-augmented generation (RAG) and integrations with enterprise data, APIs and business systems, from prototype through production.\nWhat you will do\nDesign, develop and deploy AI agents and multi-agent workflows.\nBuild RAG, semantic search, tool calling and enterprise knowledge capabilities.\nIntegrate AI applications with APIs, data platforms and business systems.\nDevelop reliable, scalable AI services and evaluate their quality, safety and performance.\nWork with Singapore-based technical and business teams to understand requirements and deliver solutions.\nWhat we are looking for\nAround 3 years or more of software engineering, machine learning or AI application development experience.\nStrong Python skills and practical experience delivering GenAI applications.\nExperience with RAG, embeddings, vector databases and API development.\nFamiliarity with an agent framework such as LangGraph, LangChain, AutoGen or CrewAI.\nExperience with AWS or another major cloud platform.\nBasic spoken and written English for work: able to explain your solution, discuss requirements with Singapore colleagues, and write a short technical update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: MCP and tool integrations, PySpark, Bedrock/Azure OpenAI/Vertex AI, agent evaluation, observability, or telecom and enterprise data.\nData Engineer (Big Data / AWS)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nJoin our Guangzhou-based data and AI team supporting enterprise projects in Singapore and the region. You will build reliable data pipelines across on-premises and AWS environments and help provide data for GenAI and AI agent applications.\nWhat you will do\nDesign, build and operate batch and streaming ETL/ELT pipelines.\nProcess large datasets using Spark/PySpark and related tools.\nOrchestrate and monitor pipelines, investigate failures, and improve data quality and recovery.\nWork with AWS data services such as S3, Glue, Redshift, EMR, Athena and Kinesis, as relevant to the project.\nSupport AI and AgentOps data needs, including logs, traces, usage data and vector database pipelines.\nApply data security, access control and governance requirements.\nWhat we are looking for\nAround 2 years or more of data engineering, big data or DataOps experience.\nStrong Python and SQL skills, with hands-on Spark/PySpark experience.\nExperience with Airflow or a similar orchestration tool and with AWS data services.\nUnderstanding of batch and streaming architectures and production troubleshooting.\nBasic spoken and written English for work: able to explain a pipeline issue, discuss requirements with Singapore colleagues, and write a short status update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: Flink, Kafka or Kinesis; Milvus or Qdrant; CloudWatch, Prometheus or Grafana; GenAI, RAG or AgentOps data platforms.",
        "skills": [],AI生成
        "preferred_qualifications": "",
        "job_highlights": ""
    },
    "contact": {
        "recruiter_name": "",
        "contact_methods": [
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                "type": "apply_link",
                "value": "https://www.zhipin.com/job_detail/37bf3f6943fb53fa0nN909i6E1BS.html"
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    "posting": {
        "posting_id": "37bf3f6943fb53fa0nN909i6E1BS",
        "post_date": "",
        "hire_time": "",
        "update_date": "",
        "job_url": "https://www.zhipin.com/job_detail/37bf3f6943fb53fa0nN909i6E1BS.html"
    },
    "fulltext": "一、公司简介\n我们是一家外资企业，将在广州为客户设置办公地点，为客户提供优质的技术解决方案，期待符合条件的⼈员投递简历，因为是外国⼈⾯试，请确认具备英语沟通能力，能够使用英语参与⼯作讨论及面试（2026-10-6日新增要求）。\n二、招聘岗位\n岗位名称 招聘人数 薪资范围\nAI工程师（Agentic AI / 智能体）\t4人 20-30K/月\n三、岗位职责简介\nAI工程师（Agentic AI / 智能体）：至少3年相关经验；\n四、应聘要求\n● 具备英语沟通能力，能够使用英语参与工作讨论及面试（2026-10-6日新增要求）。\n● 请提供简洁清晰的简历（建议控制在2页以内），重点突出个人核心技能与项目经验，条理清晰，避免冗长堆砌无关信息。\n● 所声明的技能和工作经验必须可验证，面试环节将包含专业技能考核，请确保信息真实准确。\n● 投简历人员需要列出持有的证书有哪些，请在简历中详细列出所持有的各类专业证书。\n● 身体健康，无传染性疾病，面试通过需提供近期体检报告证明。\n五、面试流程\n第一轮：线上问答面试：通过视频或电话进行，主要考核专业技能与工作经验的真实性。\n第二轮：线下面试：最终录用面试，进一步评估候选人综合能力与岗位匹配度。\n注意：BOSS直聘上主要按以上职责要求筛选人员，所以请认真填写简历\n六、工作地点\n广州\n七、应聘方式\n请将个人简历发送至招聘邮箱或通过BOSS直聘平台直接投递简历。邮件主题请注明\"姓名+应聘岗位\"，我们将在收到简历后尽快与您联系。\n------------------------------------------------------------------------------------------------\n下面是我司需求的4个岗位的英文版招聘技术详细信息，供求职者请阅读参考：\nSenior Network Engineer (Huawei / L3 Support)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nWe are building a Guangzhou-based technical team to support enterprise projects in Singapore and the region. In this role, you will lead complex network troubleshooting and remote deployments, with Huawei networking as your core specialty.\nWhat you will do\nResolve L3 issues across enterprise, data centre and service provider networks.\nSupport Huawei CloudEngine, NetEngine and VRP environments, including routing, switching, performance and connectivity.\nPlan and carry out remote deployments, upgrades, migrations and cutovers.\nPrepare implementation plans, MOPs, configuration templates and troubleshooting guides.\nWork with Huawei TAC and other vendors, mentor engineers, and apply automation to network operations.\nWhat we are looking for\nAround 8 years or more of network engineering experience, with strong hands-on Huawei networking experience.\nAbility to troubleshoot complex issues independently; knowledge of BGP, OSPF, IS-IS, MPLS, EVPN/VXLAN, VLAN, VRRP and QoS.\nExperience supporting multi-site environments or remote deployments.\nHuawei HCIP or HCIE certification in a relevant networking track.\nBasic spoken and written English for work: able to explain a technical issue, discuss troubleshooting steps with Singapore colleagues, and write a short technical update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: Cisco, Juniper or Aruba; Python, Ansible or APIs; MSP environments; network automation or AI-assisted operations.\nSenior Cloud & Storage Engineer (Huawei Storage / L3 Support)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nJoin our Guangzhou-based team supporting cloud, storage and infrastructure projects for enterprise customers in Singapore and the region. You will provide L3 support, lead remote deployments and help integrate storage with virtualisation and container platforms.\nWhat you will do\nInvestigate complex storage, cloud and infrastructure incidents.\nSupport Huawei OceanStor, Dorado, Pacific and OceanProtect environments.\nWork across SAN/NAS, block, file and object storage; host connectivity; performance; replication; backup and disaster recovery.\nPlan and carry out remote deployments, expansions, upgrades, migrations and cutovers.\nSupport storage integration with virtualisation, Kubernetes and OpenShift.\nWrite MOPs and runbooks, mentor engineers, and improve infrastructure automation.\nWhat we are looking for\nAround 8 years or more of infrastructure, cloud or storage engineering experience, with strong hands-on Huawei storage experience.\nAbility to troubleshoot across storage, compute, network and virtualisation layers.\nExperience with enterprise or data centre storage and remote or multi-site deployments.\nHuawei HCIP Storage or HCIE Storage certification.\nBasic spoken and written English for work: able to describe a technical problem, discuss next steps with Singapore colleagues, and write a short status update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: Dell or HPE storage, Huawei Cloud, Red Hat Enterprise Linux, OpenShift, Kubernetes/CSI, Python, Ansible or infrastructure as code.\nAI Engineer (Agentic AI / GenAI)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nHelp build enterprise AI applications for customers in Singapore and the region. You will work on AI agents, retrieval-augmented generation (RAG) and integrations with enterprise data, APIs and business systems, from prototype through production.\nWhat you will do\nDesign, develop and deploy AI agents and multi-agent workflows.\nBuild RAG, semantic search, tool calling and enterprise knowledge capabilities.\nIntegrate AI applications with APIs, data platforms and business systems.\nDevelop reliable, scalable AI services and evaluate their quality, safety and performance.\nWork with Singapore-based technical and business teams to understand requirements and deliver solutions.\nWhat we are looking for\nAround 3 years or more of software engineering, machine learning or AI application development experience.\nStrong Python skills and practical experience delivering GenAI applications.\nExperience with RAG, embeddings, vector databases and API development.\nFamiliarity with an agent framework such as LangGraph, LangChain, AutoGen or CrewAI.\nExperience with AWS or another major cloud platform.\nBasic spoken and written English for work: able to explain your solution, discuss requirements with Singapore colleagues, and write a short technical update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: MCP and tool integrations, PySpark, Bedrock/Azure OpenAI/Vertex AI, agent evaluation, observability, or telecom and enterprise data.\nData Engineer (Big Data / AWS)\nCompany: 实嘉达科技（北京）有限公司\nLocation: Guangzhou\nJoin our Guangzhou-based data and AI team supporting enterprise projects in Singapore and the region. You will build reliable data pipelines across on-premises and AWS environments and help provide data for GenAI and AI agent applications.\nWhat you will do\nDesign, build and operate batch and streaming ETL/ELT pipelines.\nProcess large datasets using Spark/PySpark and related tools.\nOrchestrate and monitor pipelines, investigate failures, and improve data quality and recovery.\nWork with AWS data services such as S3, Glue, Redshift, EMR, Athena and Kinesis, as relevant to the project.\nSupport AI and AgentOps data needs, including logs, traces, usage data and vector database pipelines.\nApply data security, access control and governance requirements.\nWhat we are looking for\nAround 2 years or more of data engineering, big data or DataOps experience.\nStrong Python and SQL skills, with hands-on Spark/PySpark experience.\nExperience with Airflow or a similar orchestration tool and with AWS data services.\nUnderstanding of batch and streaming architectures and production troubleshooting.\nBasic spoken and written English for work: able to explain a pipeline issue, discuss requirements with Singapore colleagues, and write a short status update. Perfect fluency and an English-language certificate are not required.\nUseful additional experience: Flink, Kafka or Kinesis; Milvus or Qdrant; CloudWatch, Prometheus or Grafana; GenAI, RAG or AgentOps data platforms."
}