AI Agent Developer
主要责任：· 研发，设计，开发和管理端到端的软件应用程序 · 构建和部署生产级自主 AI 代理 （不仅是原型）· 设计和实施由矢量数据库支持的 RAG 架构 · 开发和优化多代理工作流程和机关系统 ·通过 API 集成大型语言模型 OpenAI,Hugging Face,Azure AI ·实现模特语境协议 (MCP) 为使代理商能够安全地访问受管的数据 · 自有 AI 治理，模型生命周期管理以及部署的 AI 代理人的持续评估 · 应用安全控制：防护窗口，内容过和风险减轻 · 与开发人员，UX 设计师和商业/系统分析师进行跨功能合作 ·不断优化 LLM 性能，推断成本和代币使用要求必须有 · 4年以上的 AI/ML 工程或先进数据科学 ·经验证明将自主人工智能代理运输到生产中，而不仅仅是建立演示程序 · 背景工程方面的强基础 ·与代理框架：LangChain,LangGraph, CrewAI,AutoGPT ·在矢量数据库上构建 RAG 系统的经验 · 强大的 Python 技能以及流利性与 AI/ML 图书馆 (Open, Hugging,Azure AI) ·通过 API 应用程序对面线程的 LLC 体验 · 实操了解关于 AI 治理，模型生命周期管理和评估框架 · 对实施或扩展 Model Context Protocol (MCP) 的直接经验 · 与人工智能防护屏幕和安全工具的熟悉 · 了解数据隐私要求，包括 PII/PHI 处理好处 · 在律师事务所，法律运营或法律技术环境中工作的经验 ·与 LLMs （例如 ChatGPT）,自动化平台 (Zapier, Make),OCR 工具或分析平台等 AI 工具的实践经验 · 营销自动化，领先生成系统或付费广告优化方面的背景 · 与聊天机器人，呼叫自动化或客户接入系统的经验 ·熟悉文件自动化，法律研究工具或 eDiscovery 平台 ·基本了解 API,集成或无代码/低代码工具 ·构建仪表板的经验 （例如 Power BI, Tableau,Google 数据工作室）·在 AI 实现中对数据隐私，合规和安全考虑方面的知识 ·事前咨询，运营或创新重点角色的经验系统和工作设置要求：·稳定高速互联网连接
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Key Responsibilities:
- Research, design, develop, and manage software applications end-to-end
- Build and deploy production-grade autonomous AI agents (not just prototypes)
- Design and implement RAG architectures backed by vector databases
- Develop and optimize multi-agent workflows and agentic systems
- Integrate large language models via API — OpenAI, Hugging Face, Azure AI
- Implement Model Context Protocol (MCP) to enable secure, governed data access for agents
- Own AI governance, model lifecycle management, and ongoing evaluation of deployed agents
- Apply AI safety controls: guardrails, content filtering, and risk mitigation
- Collaborate cross-functionally with developers, UX designers, and business/systems analysts
- Continuously optimize LLM performance, inference cost, and token usage
Requirements
Must-Have
- 4+ years in AI/ML engineering or advanced data science
- Demonstrated experience shipping autonomous AI agents into production, not just building demos
- Strong grounding in context engineering
- Hands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGPT
- Experience building RAG systems on vector databases
- Strong Python skills plus fluency with AI/ML libraries (OpenAI, Hugging Face, Azure AI)
- Experience wiring LLMs into applications via API
- Working knowledge of AI governance, model lifecycle management, and evaluation frameworks
- Direct experience implementing or extending Model Context Protocol (MCP)
- Familiarity with AI guardrails and safety tooling
- Understanding of data privacy requirements, including PII/PHI handling
- Nice-to-Have
- 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