远程工作雷达

高级React/Python/AWS工程师 – AI与生成式AI解决方案

Senior React / Python / AWS Engineer – AI & Generative AI Solutions

AI开发工程限定地区(需当地身份)
公司Workiy Inc.
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

这是一个远程职位。

职位描述:

我们正在寻找一位经验丰富的React / Python / AWS工程师,具备扎实的AI专业知识,负责设计、开发和部署可扩展的云原生应用和智能解决方案。理想的候选人应在前端开发、后端工程、云平台和生成式AI技术方面有实际操作经验。在此职位中,您将负责构建端到端的应用程序,集成AI功能,开发API和微服务,并利用AWS服务交付高性能、安全且可扩展的解决方案。您将与产品经理、架构师、数据工程师和业务相关方紧密合作,将需求转化为创新的技术方案,同时推动软件开发、云架构和AI采用的最佳实践。成功候选人应能够在快节奏的环境中工作,对技术决策负责,并通过现代工程和AI驱动的创新交付具有影响力的產品,从而提升业务成果。

要求

  • 熟练掌握React.js、TypeScript、JavaScript、HTML5和CSS3
  • 精通Python开发后端服务和API开发
  • 有构建和使用RESTful API和GraphQL服务的经验
  • 熟悉AWS云服务(Lambda、S3、API Gateway、ECS/EKS、Glue、Redshift、CloudWatch)
  • 有生成式AI、大语言模型(LLMs)和AI驱动应用程序的经验
  • 有集成OpenAI、Anthropic、Azure OpenAI或类似AI平台的经验
  • 了解AI代理、提示工程、工具调用和代理工作流
  • 有Databricks、PySpark、Delta Lake和数据工程概念的经验
  • 熟悉微服务架构和事件驱动系统
  • 有Docker、Kubernetes和CI/CD流水线的经验
  • 精通Git、GitHub/GitLab和敏捷/Scrum方法论
  • 有设计、开发和部署云原生应用程序的经验
  • 强大的问题解决、调试和性能优化能力
  • 良好的沟通和利益相关者协作能力
  • 能够在快节奏的远程环境中独立工作,接受最少的监督

最初发布于喜马拉雅山

查看英文原文

This is a remote position.
Job Description:

We are seeking an experiencedReact / Python / AWS Engineer with strong AI expertiseto design, develop, and deploy scalable cloud-native applications and intelligent solutions. The ideal candidate will have hands-on experience across frontend development, backend engineering, cloud platforms, and Generative AI technologies. In this role, you will be responsible for building end-to-end applications, integrating AI capabilities, developing APIs and microservices, and leveraging AWS services to deliver high-performance, secure, and scalable solutions. You will work closely with product managers, architects, data engineers, and business stakeholders to translate requirements into innovative technical solutions while driving best practices in software development, cloud architecture, and AI adoption. The successful candidate should be comfortable working in a fast-paced environment, taking ownership of technical decisions, and delivering impactful products that enhance business outcomes through modern engineering and AI-driven innovation.
Requirements

  • Strong experience with React.js, TypeScript, JavaScript, HTML5, and CSS3
  • Proficiency in Python development for backend services and API development
  • Experience building and consuming RESTful APIs and GraphQL services
  • Hands-on experience with AWS Cloud Services (Lambda, S3, API Gateway, ECS/EKS, Glue, Redshift, CloudWatch)
  • Experience with Generative AI, Large Language Models (LLMs), and AI-powered applications
  • Experience integrating OpenAI, Anthropic, Azure OpenAI, or similar AI platforms
  • Knowledge of AI Agents, Prompt Engineering, Tool Calling, and Agentic Workflows
  • Experience with Databricks, PySpark, Delta Lake, and Data Engineering concepts
  • Strong understanding of Microservices Architecture and Event-Driven Systems
  • Experience with Docker, Kubernetes, and CI/CD pipelines
  • Proficiency with Git, GitHub/GitLab, and Agile/Scrum methodologies
  • Experience designing, developing, and deploying cloud-native applications
  • Strong problem-solving, debugging, and performance optimization skills
  • Excellent communication and stakeholder collaboration skills
  • Ability to work independently in a fast-paced remote environment with minimal supervision

Originally posted on Himalayas

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