Backend Engineer - Agentic AI

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

About Virtasant Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control. Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale. About the role Our client develops a powerful AI-powered training and communication SaaS platform that gives frontline workers the knowledge they’re missing to drive measurable business performance. You will be a fully remote , hands-on contributor on our client's Development Team, building features and products primarily across Agentic AI and backend services , with occasional contributions to frontend user interfaces when needed. This role takes clear ownership of well-defined problems and delivers high-quality solutions with confidence and independence. Working closely with peers across the Development Team, you will contribute to technical discussions, keep pace with a fast-moving codebase, and bring genuine care for the craft to everything you build. What You’ll Do Design, develop, test, deploy, and support high-quality code: Building, running, and consuming MCP servers (tool design, auth/OAuth, multi-tenant security, deployment) Building LLM agents with tool/function calling and multi-agent orchestration (e.g., A2A or similar) Testing and evaluating agent behaviour, plus observability in production Contribute to architecture and design discussions, and help evaluate trade-offs around scaling, reliability, and maintainability. Develop backend services in Python (for AI and Agent work) and Java (for integrating with our client's core platform), with attention to performance and data quality. Use AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) as part of your daily workflow to improve productivity and code quality. Participate in code reviews, giving and receiving feedback that improves the quality and consistency of the codebase. Identify and flag technical debt, and contribute ideas for how to address it. Break down development tasks into clear, manageable pieces and execute them reliably. Collaborate with Product Management and Quality Assurance to refine requirements and ensure your work meets a high bar for quality. Share what you're learning — whether that's a new pattern, a tool, or a better way of doing something — with the people around you. Other relevant duties as required. What We’re Looking For Must-Have Experience Be based in Brazil, Colombia, the Dominican Republic, or Mexico. Strong level of English, written and spoken. 4+ years of backend-heavy software development experience with Java and Python, with extensive usage of Agentic AI. Solid experience in Java and Python , including working with data structures, relational databases, and SQL. Hands-on experience with AI coding assistants (such as Cursor, Claude Code, or GitHub Copilot) as part of a daily development workflow. Familiarity with cloud platforms (especially GCP) and application infrastructure concepts — containers, caching, and distributed systems — is an asset. Experience working with Microservices Comfortable working independently on well-defined problems and seeing them through to completion. Strong attention to detail and a commitment to unit and functional testing. Experience building AI-driven applications, agentic products and features, working with LLMs, or using frameworks like LangChain or Google ADK: Hands-on production experience building, running, and consuming MCP servers, including tool design, auth/OAuth, multi-tenant security, and deployment. Building LLM agents with tool/function calling and multi-agent orchestration (e.g., A2A or similar) Testing and evaluating agent behaviour, plus observability in production Computer Science, Engine

关于 Virtasant Virtasant 是一家全球技术服务公司，拥有遍布 130 多个国家的 4,000 多名技术专业人员网络。我们专注于云架构、基础设施、迁移和优化，帮助企业高效扩展，同时保持成本控制。我们的客户范围从财富 500 强公司到快速成长的初创企业，他们依赖我们构建高性能基础设施、优化云环境，并实现大规模的持续交付。 关于该职位 我们的客户开发了一个强大的 AI 驱动培训与沟通 SaaS 平台，为一线员工提供他们缺失的知识，以推动可衡量的业务绩效。你将成为我们客户开发团队中一名完全远程的实操贡献者，主要构建 Agentic AI 和后端服务方面的功能和产品，并在需要时偶尔参与前端用户界面开发。该职位需要对明确定义的问题承担明确责任，并以自信和独立的方式交付高质量解决方案。你将与开发团队的同事紧密合作，参与技术讨论，跟上快速发展的代码库，并将对工艺的真正用心带入你构建的一切。 你将做什么 设计、开发、测试、部署和支持高质量代码： 构建、运行和使用 MCP servers（工具设计、auth/OAuth、多租户安全、部署） 构建具有工具/函数调用和多智能体编排（例如 A2A 或类似方案）的 LLM agents 测试和评估 agent 行为，以及生产环境中的可观测性 参与架构和设计讨论，并帮助评估围绕扩展性、可靠性和可维护性的权衡。 使用 Python（用于 AI 和 Agent 工作）和 Java（用于与客户核心平台集成）开发后端服务，并关注性能和数据质量。 将 AI 编码工具（例如 Cursor、Claude Code、GitHub Copilot）作为日常工作流程的一部分，以提高生产力和代码质量。 参与代码审查，给予和接受有助于提升代码库质量和一致性的反馈。 识别并标记技术债务，并为如何解决它贡献想法。 将开发任务拆分为清晰、可管理的部分，并可靠地执行。 与 Product Management 和 Quality Assurance 合作，完善需求，并确保你的工作达到高质量标准。 分享你正在学习的内容——无论是新模式、工具，还是更好的做事方式——与你周围的人交流。 其他相关职责（视需要而定）。 我们在寻找什么 必备经验 常驻巴西、哥伦比亚、多米尼加共和国或墨西哥。 较强的英语水平，包括书面和口语。 4 年以上以后端为主的软件开发经验，使用 Java 和 Python，并大量使用 Agentic AI。 扎实的 Java 和 Python 经验，包括处理数据结构、关系数据库和 SQL。 具有在日常开发工作流程中使用 AI 编码助手（如 Cursor、Claude Code 或 GitHub Copilot）的实操经验。 熟悉云平台（尤其是 GCP）和应用基础设施概念——容器、缓存和分布式系统——者优先。 具有 Microservices 工作经验 能够独立处理明确定义的问题，并推动其完成。 高度注重细节，并致力于单元测试和功能测试。 具有构建 AI 驱动应用、agentic 产品和功能、使用 LLMs 或使用 LangChain 或 Google ADK 等框架的经验： 具有构建、运行和使用 MCP servers 的生产实操经验，包括工具设计、auth/OAuth、多租户安全和部署。 构建具有工具/函数调用和多智能体编排（例如 A2A 或类似方案）的 LLM agents 测试和评估 agent 行为，以及生产环境中的可观测性 Computer Science、Engine

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准