AI Forward Deployed Engineer
主要责任：· 直接与客户建立和部署定制模拟解决方案 · 开发基于 Java 的应用程序以满足特定业务需求 · 自主从客户要求收集到生产部署的端到端交付 · 将大规模数据集成在模拟和人工智能框架中 · 与核心工程团队合作，对模拟平台的建筑决策 · 从技术团队到高管层面的客户利益相关者直接合作 · 快速原型和反复基于实际客户反的解决方案 · 从初始想法推向部署至具有高度自主性的项目 ·计算机科学或与 AI 相关领域的士学位及以上学历 · 能够直接与客户合作，将业务需求转化为技术解决方案的能力 ·强大的 Java 技能 ·数据处理和分析使用 Python 的实操了解 ·大规模数据处理和集成经验 ·对复杂技术挑战应用的强有力的问题解决能力 · 在不断变化的要求环境中工作舒适性 · 12年的大学后相关经验 • 对性能关键组件具有好处 ·供应链，物流或运营研究背景 ·模拟框架或建模工具的经验 · 金融技术或量化分析经验 · 前面客户的技术咨询经验 · 在律师事务所，法律运营或法律科技环境工作经验 · 与人工智能工具 （如 LLM （例如 ChatGPT）,自动化平台 (Zapier, Make）,OCR 工具或分析平台等实践经验 · 营销自动化，引擎发射系统或付费广告优化方面的背景 · 聊天机器，呼叫自动化或客户接入系统的经验 · 对文档自动化和法律研究工具或 eDiscovery 平台的熟悉 · API,集成或无码/低代码工具的基本理解 · · 建立仪表板的经验 （例如 Power BI, Tableau, Google Data Studio）· 在人工智能实现中对数据隐私，合规性和安全考虑方面的知识 · 咨询，运营或创新重点角色的先前经验系统和工作设置要求：· 稳定且高速互联网连接，最好是25MBPS 或更高的备份在电源中断或服务提供商问题时。· 8GB RAM 的自己的 PC/笔记本电脑，以及
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Key Responsibilities:
- Build and deploy custom simulation solutions directly with clients
- Develop Java-based applications to meet specific business needs
- Own end-to-end delivery — from client requirements gathering through production deployment
- Integrate large-scale data into simulation and AI frameworks
- Collaborate with the core engineering team on architecture decisions for the simulation platform
- Work directly with client stakeholders across all levels, from technical teams to executives
- Rapidly prototype and iterate solutions based on real client feedback
- Drive projects from initial idea through deployment with a high degree of autonomy
Requirements
Must-Have
- MSc or higher in Computer Science or an AI-related field
- Ability to work directly with clients, translating business needs into technical solutions
- Strong Java proficiency
- Working knowledge of Python for data processing and analysis
- Experience with large-scale data processing and integration
- Strong problem-solving skills applied to complex technical challenges
- Comfort operating in a dynamic environment with evolving requirements
- 1–2 years of relevant post-university experience
Nice-to-Have
- C++ experience for performance-critical components
- Background in supply chain, logistics, or operations research
- Experience with simulation frameworks or modeling tools
- Fintech or quantitative analysis experience
- Prior client-facing technical consulting experience
- Experience working in a law firm, legal operations, or legal tech environment
- Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms
- Background in marketing automation, lead generation systems, or paid ads optimization
- Experience with chatbots, call automation, or client intake systems
- Familiarity with document automation, legal research tools, or eDiscovery platforms
- Basic understanding of APIs, integrations, or no-code/low-code tools
- Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)
- Knowledge of data privacy, compliance, and security considerations in AI implementation
- Prior experience in a consulting, operations, or innovation-focused role
System and Work Setup Requirements:
- A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.
- Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage
- Headset/earphone with noise cancellation and webcam at 720p or higher resolution
- A designated, quiet, and well-organized workspace free from distractions to facilitate focused work
Benefits
- Permanent remote work setup
- Competitive starting rate paid in USD
- Internet Allowance
- HMO insurance (PH)
- Paid US holidays
- Paid Vacation and Sick Leaves
Originally posted on Himalayas