AI系统与自动化工程师
AI Systems & Automation Engineer
我们正在寻找一位经验丰富的AI系统与自动化工程师，负责设计和构建在组织内移动工作的系统。这是一份以项目为导向的职位，重点是构建新流程并加强团队运作方式。
你将跨团队工作，将复杂流程转化为可靠、可扩展的流程，连接模型、数据、平台和内部工具，重点关注性能、可用性和长期可维护性。
职责
- 在各个业务职能中设计和构建智能系统和自动化流程。
- 开发代理和多代理架构，用于编排、检索、验证和执行。
- 通过API、MCP、webhooks、数据库和内部系统集成平台和服务。
- 在结构化和非结构化数据上构建知识、检索和记忆层，并开发其下的后端服务和数据管道。
- 创建人机协作流程、审批逻辑和质量控制机制，并确定哪些流程应保持手动。
- 负责已部署系统的可靠性、可扩展性、可观测性和可维护性。
- 建立清晰的技术标准、文档和实施实践，使团队能够持续维护。
- 具有AI工程、软件工程、系统架构、自动化或应用机器学习方面的专业经验。
- 有从架构和原型到稳定生产部署的系统经验。
- 对生产环境中的LLM有深入理解：代理系统、工具使用、编排、检索、嵌入、向量搜索、上下文记忆和结构化输出。
- 具有API、MCP、服务集成、数据库、webhooks和数据管道的丰富经验。
- 具有Python、JavaScript/TypeScript或类似语言的高级编程技能。
- 具有云基础设施、容器化、部署、版本控制、监控和可观测性的经验。
- 对身份验证、权限、数据安全和系统可靠性有深刻理解。
- 具备系统思维能力，能够在不牺牲技术严谨性的情况下简化复杂流程。
- 能够与技术和非技术团队有效合作。
- 在创意、营销、媒体、内容、策略或运营环境中工作的经验。
- 具有内部平台、知识系统、生成式管道、工作流引擎或企业级系统经验。
查看英文原文
We are looking for an experienced AI Systems & Automation Engineer to design and build the systems that move work across the organization. This is a project-based engagement focused on building new workflows and strengthening how our teams operate.
You will work across teams to turn complex processes into reliable, scalable workflows, connecting models, data, platforms, and internal tools with a strong focus on performance, usability, and long term maintainability.
Responsibilities
- Design and build intelligent systems and automation workflows across business functions.
- Develop agentic and multi agent architectures for orchestration, retrieval, validation, and execution.
- Integrate platforms and services through APIs, MCP, webhooks, databases, and internal systems.
- Build knowledge, retrieval, and memory layers across structured and unstructured data, and develop the backend services and data pipelines beneath them.
- Create human in the loop workflows, approval logic, and quality control mechanisms, and identify which processes should stay manual.
- Own reliability, scalability, observability, and maintainability across deployed systems.
- Establish clear technical standards, documentation, and implementation practices the team can maintain.
- Proven professional experience in AI engineering, software engineering, systems architecture, automation, or applied machine learning.
- A track record of taking systems from architecture and prototype through to stable production deployment.
- Deep working knowledge of LLMs in production: agentic systems, tool use, orchestration, retrieval, embeddings, vector search, contextual memory, and structured outputs.
- Strong experience with APIs, MCP, service integrations, databases, webhooks, and data pipelines.
- Advanced programming skills in Python, JavaScript/TypeScript, or comparable languages.
- Experience with cloud infrastructure, containerization, deployment, version control, monitoring, and observability.
- Strong understanding of authentication, permissions, data security, and system reliability.
- Strong systems thinking and the ability to simplify complex workflows without compromising technical rigor.
- Ability to work effectively with both technical and non technical teams.
- Experience working within creative, marketing, media, content, strategy, or operational environments.
- Experience with internal platforms, knowledge systems, generative pipelines, workflow engines, or enterprise automation.
- Arabic and English working proficiency, or experience building bilingual content systems.
We are Ethos, the fastest growing digital communication group in MENA. We think big and we make big ideas come to life. We are crazy about the digital world and we aim high. We are looking for talented and valued people with interesting and provocative ideas, along with bold and diverse perspectives. Our culture is all about the thriving young team of us in 4 offices around MENA, while we boldly help impact the success of leading brands like McDonald's, General Motors, and American Express.
Originally posted on Himalayas