{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "AI Engineer",
        "job_level": "高级",AI生成
        "work_category": "全职",AI生成
        "department": "未披露",
        "location": "上海·浦东新区·陆家嘴",
        "work_mode": "现场办公",AI生成
        "job_category": "AI应用软件工程师"AI生成
    },
    "company": {
        "company_name": "Optiver",
        "company_industry": "互联网金融",
        "company_size": "20-99人",
        "company_website": "未披露",
        "company_description": "未披露"
    },
    "compensation": {
        "salary_range": {
            "min": 50000,
            "max": 80000,
            "currency": "元",
            "cycle": "月"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": 5,
        "degree": "本科",
        "language": "英文",AI生成
        "visa_support": "未披露",
        "responsibilities": "Introduction:\nWe are seeking a senior software engineer who has built real agentic systems, thinks deeply about how to evaluate agents and understands how to deliver reliable AI products. In this role, you’ll work within our AI Engineering team and contribute to the platform that helps traders, researchers and engineers build trusted AI applications. You’ll have opportunities to work across the full lifecycle from model inference, evaluation, deployment and observability of agents solving real business outcomes.\nKey Responsibilities:\nArchitect, develop and operate our internal AI Engineering platform\nDesign and implement evaluations for agents across a range of tasks, developing robust ways to measure quality, reliability, and business impact\nWork closely with internal partner teams building their own applications and workflows with AI\nUnderstand the model provider landscape and the strengths/weaknesses of different model families\nCollaborate within the global AI Engineering team to share perspectives from your local customers\nProduce high-quality, unit-tested code and uphold consistent style and documentation through code reviews and CI/CD practices\nTroubleshoot and debug AI systems to ensure optimal performance",
        "requirements_text": "Bachelorʼs degree in Computer Science, AI, or related field\nMinimum of 4 years of professional software or ML engineering experience\nStrong problem-solving skills: ability to make progress on ambiguous problems, make pragmatic engineering decisions\nSolid software engineering fundamentals and a track record of building maintainable production systems\nExcellent knowledge of Python, common AI/ML libraries and integration with 3rd party services\nSome commercial or open source experience in developing AI agents with any of the well-known services\nExperience with LLM inference engines (sglang/vLLM/etc) a plus but not required\nExperience with model fine-tuning a plus but not required",
        "skills": [AI生成
            "Linux/DevOps/CI-CD",
            "Workflow与任务编排",
            "大模型原理与能力边界",
            "模型/Agent评测体系",
            "模型微调与对齐",
            "编程与代码实现",
            "跨部门/跨团队协作",
            "部署上线与环境配置"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "5-10年 | 本科"
    },
    "contact": {
        "recruiter_name": "李喆",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://www.zhipin.com/job_detail/438e5c9be50b721a0nJz0tW8ElRV.html"
            }
        ]
    },
    "posting": {
        "posting_id": "438e5c9be50b721a0nJz0tW8ElRV",
        "post_date": "",
        "hire_time": "未披露",
        "update_date": "20260915",
        "job_url": "https://www.zhipin.com/job_detail/438e5c9be50b721a0nJz0tW8ElRV.html"
    },
    "fulltext": "Introduction:\nWe are seeking a senior software engineer who has built real agentic systems, thinks deeply about how to evaluate agents and understands how to deliver reliable AI products. In this role, you’ll work within our AI Engineering team and contribute to the platform that helps traders, researchers and engineers build trusted AI applications. You’ll have opportunities to work across the full lifecycle from model inference, evaluation, deployment and observability of agents solving real business outcomes.\nKey Responsibilities:\nArchitect, develop and operate our internal AI Engineering platform\nDesign and implement evaluations for agents across a range of tasks, developing robust ways to measure quality, reliability, and business impact\nWork closely with internal partner teams building their own applications and workflows with AI\nUnderstand the model provider landscape and the strengths/weaknesses of different model families\nCollaborate within the global AI Engineering team to share perspectives from your local customers\nProduce high-quality, unit-tested code and uphold consistent style and documentation through code reviews and CI/CD practices\nTroubleshoot and debug AI systems to ensure optimal performance\nQualifications:\nBachelorʼs degree in Computer Science, AI, or related field\nMinimum of 4 years of professional software or ML engineering experience\nStrong problem-solving skills: ability to make progress on ambiguous problems, make pragmatic engineering decisions\nSolid software engineering fundamentals and a track record of building maintainable production systems\nExcellent knowledge of Python, common AI/ML libraries and integration with 3rd party services\nSome commercial or open source experience in developing AI agents with any of the well-known services\nExperience with LLM inference engines (sglang/vLLM/etc) a plus but not required\nExperience with model fine-tuning a plus but not required"
}