全栈开发工程师（AI 智能体）
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Full Stack Developer (AI Agents)Databricks · Bengaluru, 印度
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职位描述
机器翻译关于该职位
我们正在寻找一位资深全栈开发工程师，负责设计、构建和部署利用大型语言模型（LLM）的现代化、可扩展的 AI 智能体与应用程序。该职位要求高度专注于端到端智能体开发，包括构建高性能的 React 前端、使用 Python 设计智能体逻辑、与后端服务集成，并确保生产就绪。
主要职责
• 为业务关键型工作流设计、开发和部署 AI 智能体，重点关注 LLM 编排和工具。
• 使用 LangChain 或 LangGraph 等框架实现复杂的智能体行为，包括用于推理和行动的 ReAct 循环。
• 为智能体的用户界面设计并开发高性能的 React 应用程序。
• 与后端团队协作，集成 API 和服务，并为智能体构建工具。
• 使用中间件（Python/Node.js）编排智能体调用和数据流。
• 为智能体运行和系统性能实现全面的可观测性和追踪。
• 构建可复用、可扩展的 UI 组件。
• 优化应用程序性能、响应能力和可扩展性。
• 参与架构讨论并为解决方案设计做出贡献。
• 编写整洁、可维护、可测试的代码，并附有适当的文档。
所需技能和经验
• 3 年以上全栈开发经验，精通 Python 和 React.js。
• 具有设计、构建和部署至少 1 个已投入生产的 AI 智能体或 LLM 应用程序的成熟经验。
• 在 LLM 编排、提示工程以及利用工具/插件扩展智能体能力方面具备深厚专业知识。
• 具有使用 Lan 等智能体框架的经验
岗位职责
我们正在寻找一位资深全栈开发工程师，负责设计、构建和部署利用大型语言模型（LLM）的现代化、可扩展的 AI 智能体与应用程序。该职位要求高度专注于端到端智能体开发，包括构建高性能的 React 前端、使用 Python 设计智能体逻辑、与后端服务集成，并确保生产就绪。
• 为业务关键型工作流设计、开发和部署 AI 智能体，重点关注 LLM 编排和工具。
• 使用 LangChain 或 LangGraph 等框架实现复杂的智能体行为，包括用于推理和行动的 ReAct 循环。
• 为智能体的用户界面设计并开发高性能的 React 应用程序。
• 与后端团队协作，集成 API 和服务，并为智能体构建工具。
• 使用中间件（Python/Node.js）编排智能体调用和数据流。
• 为智能体运行和系统性能实现全面的可观测性和追踪。
• 构建可复用、可扩展的 UI 组件。
• 优化应用程序性能、响应能力和可扩展性。
• 参与架构讨论并为解决方案设计做出贡献。
• 编写整洁、可维护、可测试的代码，并附有适当的文档。
所需技能和经验
• 3 年以上全栈开发经验，精通 Python 和 React.js。
• 具有设计、构建和部署至少 1 个已投入生产的 AI 智能体或 LLM 应用程序的成熟经验。
• 在 LLM 编排、提示工程以及利用工具/插件扩展智能体能力方面具备深厚专业知识。
• 具有使用 LangChain 或 LangGraph 等智能体框架的经验，包括实现 ReAct 循环等推理模式。
• 具有 AI 智能体的可观测性、日志记录和追踪经验。
任职要求
• 具有丰富的 API 集成经验（REST/GraphQL）。
优先/加分项
• 了解 Salesforce API（REST、Apex、RLM/CPQ）
• 了解 CI/CD 流水线和 DevOps 实践
• 较强的问题解决和系统设计能力
• 能够跨前端和后端集成层工作
• 具有主人翁心态并注重细节
• 良好的沟通和协作能力
关于 Databricks
Databricks 是一家数据与 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever 以及 70% 的《财富》500 强企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和智能体。Databricks 总部位于旧金山，在全球拥有 30 多个办事处，提供统一平台，包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
福利待遇
在 Databricks，我们致力于提供全面的福利和待遇，以满足所有员工的需求。如需了解您所在地区所提供福利的具体详情，请点击此处。
我们对多元化和包容性的承诺
在 Databricks，我们致力于营造多元化和包容性的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性，并符合平等就业机会标准。在 Databricks 寻求就业的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济地位、退伍军人身份以及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅以此为由拒绝继续推进申请人的申请。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
About the Role
We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.
Key Responsibilities
• Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tools.
• Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
• Design and develop a high-performance React application for the agent's user interface.
• Collaborate with backend teams to integrate APIs and services, and build tools for agents.
• Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
• Implement comprehensive observability and tracing for agent runs and system performance.
• Build reusable, scalable UI components.
• Optimise application performance, responsiveness, and scalability.
• Participate in architectural discussions and contribute to solution design.
• Write clean, maintainable, and testable code with proper documentation.
Required Skills and Experience
• 3+ years of experience in full-stack development, with strong expertise in Python and React.js.
• Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application.
• Deep expertise in LLM orchestration, prompt engineering, and utilising tools/plugins to extend agent capabilities.
• Experience with agent frameworks like Lan
岗位职责
We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.
• Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tools.
• Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
• Design and develop a high-performance React application for the agent's user interface.
• Collaborate with backend teams to integrate APIs and services, and build tools for agents.
• Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
• Implement comprehensive observability and tracing for agent runs and system performance.
• Build reusable, scalable UI components.
• Optimise application performance, responsiveness, and scalability.
• Participate in architectural discussions and contribute to solution design.
• Write clean, maintainable, and testable code with proper documentation.
Required Skills and Experience
• 3+ years of experience in full-stack development, with strong expertise in Python and React.js.
• Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application.
• Deep expertise in LLM orchestration, prompt engineering, and utilising tools/plugins to extend agent capabilities.
• Experience with agent frameworks like LangChain or LangGraph, including implementing reasoning patterns like the ReAct loop.
• Experience with observability, logging, and tracing for AI agents.
任职要求
• Strong experience with API integration (REST/GraphQL).
Preferred / Good to Have
• Understanding of Salesforce APIs (REST, Apex, RLM/CPQ)
• Knowledge of CI/CD pipelines and DevOps practices
• Strong problem-solving and system design skills
• Ability to work across frontend and backend integration layers
• Ownership mindset with attention to detail
• Good communication and collaboration skills
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
福利待遇
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.