{
    "schema_version": "via_ai_product_manager_jobs_v1",
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    "job": {
        "job_title": "Agent Research and Development Engineer（J93903）",
        "job_level": "未披露",AI生成
        "work_category": "全职",AI生成
        "department": "MEG",
        "location": "深圳市,新加坡",
        "work_mode": "未披露",AI生成
        "job_category": "技术"AI生成
    },
    "company": {
        "company_name": "百度",
        "company_industry": "互联网 / 人工智能",
        "company_size": "10000人以上",
        "company_website": "baidu.com",
        "company_description": "百度围绕搜索发展人工智能技术，业务涉及语音、图像、知识图谱、自然语言处理、自动驾驶和AI芯片。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": "",
        "degree": "-Bachelor’s degree or higher in Computer Science or related fields",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "-Optimize the pipeline and model performance of large language models (LLMs) in retrieval-augmented generation (RAG) scenarios\n-Explore and develop advanced applications of LLMs in multi-modal tasks, function calling, and interactive search\n-Track the latest advancements in evaluation capabilities of large language models in RAG, multi-modal agents, and function calling, and build systematic evaluation capabilities\n-Optimize foundational abilities of LLMs (e.g., instruction following, reasoning and planning, long-text memory, and knowledge inheritance) and promote their practical implementation",
        "requirements_text": "-Bachelor’s degree or higher in Computer Science or related fields\n-Background in NLP/search/advertising/recommendation system development, familiar with modern NLP model architectures such as Transformers/BERT\n-Excellent coding skills, proficient in programming languages such as Python & Shell\n-Excellent communication and logical expression skills, a passion for exploratory learning, a good team collaboration attitude, and a strong sense of responsibility\n-Preferred: impactful work (e.g., publications in academic conferences, open-source contributions)",
        "skills": [AI生成
            "Python",
            "自然语言处理",
            "团队协作"
        ],
        "preferred_qualifications": "Preferred: impactful work (e.g., publications in academic conferences, open-source contributions)",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://talent.baidu.com/jobs/detail/SOCIAL/d15a7913-31cb-4eb8-a1a3-944b831d34cc"
            }
        ]
    },
    "posting": {
        "posting_id": "d15a7913-31cb-4eb8-a1a3-944b831d34cc",
        "post_date": "2025-09-22",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://talent.baidu.com/jobs/detail/SOCIAL/d15a7913-31cb-4eb8-a1a3-944b831d34cc"
    },
    "fulltext": "Agent Research and Development Engineer（J93903）\nAgent Research and Development Engineer（J93903）\n\n基础信息\n部门：MEG\n地点：深圳市,新加坡\n类别：技术\n招聘人数：2\n发布时间：2026-07-21\n\n工作职责\n-Optimize the pipeline and model performance of large language models (LLMs) in retrieval-augmented generation (RAG) scenarios\n-Explore and develop advanced applications of LLMs in multi-modal tasks, function calling, and interactive search\n-Track the latest advancements in evaluation capabilities of large language models in RAG, multi-modal agents, and function calling, and build systematic evaluation capabilities\n-Optimize foundational abilities of LLMs (e.g., instruction following, reasoning and planning, long-text memory, and knowledge inheritance) and promote their practical implementation\n\n职责要求\n-Bachelor’s degree or higher in Computer Science or related fields\n-Background in NLP/search/advertising/recommendation system development, familiar with modern NLP model architectures such as Transformers/BERT\n-Excellent coding skills, proficient in programming languages such as Python & Shell\n-Excellent communication and logical expression skills, a passion for exploratory learning, a good team collaboration attitude, and a strong sense of responsibility\n-Preferred: impactful work (e.g., publications in academic conferences, open-source contributions)\n-Optimize the pipeline and model performance of large language models (LLMs) in retrieval-augmented generation (RAG) scenarios\n-Explore and develop advanced applications of LLMs in multi-modal tasks, function calling, and interactive search\n-Track the latest advancements in evaluation capabilities of large language models in RAG, multi-modal agents, and function calling, and build systematic evaluation capabilities\n-Optimize foundational abilities of LLMs (e.g., instruction following, reasoning and planning, long-text memory, and knowledge inheritance) and promote their practical implementation\n-Bachelor’s degree or higher in Computer Science or related fields\n-Background in NLP/search/advertising/recommendation system development, familiar with modern NLP model architectures such as Transformers/BERT\n-Excellent coding skills, proficient in programming languages such as Python & Shell\n-Excellent communication and logical expression skills, a passion for exploratory learning, a good team collaboration attitude, and a strong sense of responsibility\n-Preferred: impactful work (e.g., publications in academic conferences, open-source contributions)",
    "standard_classification": {
        "std_category_code": "T009",
        "std_aux_codes": [
            "T010"
        ],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}