资深后端工程师，AI系统
Staff Backend Engineer, AI Systems
关于团队
Mural 的 AI 基础团队正在探索生成式 AI 如何改变视觉协作和决策方式。我们是一个以远程为主的工作小组，由工程师、设计师和产品思考者组成，专注于帮助团队更有效地协作。我们的目标不是取代人类的创造力，而是增强它，打造能够提升人们在视觉上对齐、沟通和做决策能力的 AI。
你的使命
你将设计并构建核心 AI 系统和平台，使 Mural 能够实现下一阶段的自主 AI 驱动协作体验。
我们不只构建孤立的 AI 功能，而是专注于支撑 Mural 代理平台的核心后端系统，包括代理编排、持久执行、上下文记忆、工具集成、可观测性以及评估。你的工作将使智能代理能够在产品上下文中推理，代表用户行动，并在大规模下可靠且安全地运行。Mural 的技术栈包括 Azure OpenAI、React、Node、MongoDB。
你会做什么
- 构建支撑 Mural 代理平台的核心后端系统，包括编排、持久执行、工具执行、记忆、可观测性和评估基础设施
- 设计可扩展的服务和 API，使 AI 代理能够获取上下文、协调多步骤流程、与 Mural 数据交互，并可靠地代表用户执行操作
- 开发代理记忆层，包括对话上下文、产品上下文、检索、摘要、压缩和长期上下文管理的系统
- 创建用于监控、调试和改进代理行为的基础设施，通过追踪、指标、反馈循环和离线评估来实现
- 将复杂、开放式的业务需求转化为清晰的后端架构、服务边界、数据模型和实施计划，使技术能力与用户价值保持一致
- 参与定义 Mural 自主 AI 的技术方向，为长期架构和战略做出贡献
- 推动工程卓越，指导他人并建立构建可靠 AI 系统的最佳实践
- 通过招聘、流程改进和培养好奇心、协作和包容的文化，为团队成长做出贡献
你会带来什么
- 7 年以上软件工程经验，具备设计、构建和运维可靠生产系统、可扩展服务和 API，以及明确系统架构的强项
查看英文原文
ABOUT THE TEAM
The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually.
YOUR MISSION
You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences.
Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB.
WHAT YOU'LL DO
- Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure
- Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users
- Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management
- Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation
- Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value
- Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy
- Champion engineering excellence, mentoring others and establishing best practices for building reliable AI systems
- Contribute to team growth through hiring, process improvements, and fostering a culture of curiosity, collaboration, and inclusivity
WHAT YOU'LL BRING
- 7+ years of software engineering experience, with strong expertise designing, building, and operating reliable production systems, scalable services and APIs, and well-defined system architectures
- Experience designing and operating distributed systems for complex workflows, including orchestration, asynchronous processing, job execution, retries, event-driven architectures, long-running processes, and failure recovery
- Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration
- Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response
- Strong communication skills, with the ability to produce clear technical documentation and collaborate cross-functionally
- Experience working full stack or collaborating closely on product-facing frontend experiences
- Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems
- Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems
OUR STACK
Azure OpenAI, React, Node, MongoDB
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.