人工智能系统工程师（LLM 与 AI 代理开发）
AI Systems Engineer (LLM & AI Agent Development)
AI系统工程师（LLM与AI代理开发）
职位类型：全职，远程
工作时间：美国工作时间
关于该职位
我们正在寻找一位技术能力突出的AI系统工程师，帮助构建、维护和扩展不断增长的AI驱动应用程序、自主代理和内部软件系统。
这是一个以执行为导向的工程岗位。你将直接与创始人合作，实现AI架构，构建新的AI驱动功能，改进现有系统，并快速交付生产就绪的解决方案。
我们特别寻找那些在生产环境中构建过复杂AI系统的候选人——而不是仅仅使用过ChatGPT或进行过提示工程实验的人。
职责
AI系统开发
- 构建和维护AI驱动的网页应用。
- 开发并改进自主AI代理系统。
- 实现多代理工作流和编排。
- 构建多个代理在主编排器下协同工作的AI系统。
- 开发递归AI工作流和高级自动化流水线。
- 将LLMs集成到生产应用和内部工具中。
产品与平台开发
- 扩展和维护自主研发的CRM平台。
- 为多个AI驱动的产品构建新功能。
- 通过调试、优化和持续改进提升生产系统。
- 构建可扩展的后端服务和API。
- 直接与创始人合作，快速执行产品想法。
集成与自动化
- 将AI应用与HubSpot及其他业务系统集成。
- 在内部平台与第三方应用之间构建API集成。
- 提升跨多个系统的流程自动化和数据同步。
- 支持AI驱动的业务助手和内部自动化工具。
AI架构与代理生态系统
- 构建和维护图记忆架构。
- 设计AI代理之间的安全信息共享。
- 实现内存管理和数据分段策略。
- 确保AI系统中的隐私控制和安全边界。
- 优化AI性能、可靠性和可扩展性。
所需经验与技能
必备条件
- 5年以上专业软件工程经验。
- 强烈的构建生产级AI应用的经验。
- 有开发自主AI代理系统的实际经验。
- 有实现多代理编排和AI工作流的经验。
- 强大的Python开发经验。
查看英文原文
AI Systems Engineer (LLM & AI Agent Development)
Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours
About the Role
We are looking for a highly technical AI Systems Engineer to help build, maintain, and expand a growing ecosystem of AI-powered applications, autonomous agents, and internal software systems.
This is an execution-focused engineering role. You will work directly with the founder to implement AI architectures, build new AI-driven features, improve existing systems, and rapidly deliver production-ready solutions.
We are specifically looking for someone who has built sophisticated AI systems in production—not someone who has simply used ChatGPT or experimented with prompt engineering.
Responsibilities
AI Systems Development
- Build and maintain AI-powered web applications.
- Develop and improve autonomous AI agent systems.
- Implement multi-agent workflows and orchestration.
- Build AI systems where multiple agents coordinate under a master orchestrator.
- Develop recursive AI workflows and advanced automation pipelines.
- Integrate LLMs into production applications and internal tools.
Product & Platform Development
- Expand and maintain an internally developed CRM platform.
- Build new features across multiple AI-powered products.
- Improve production systems through debugging, optimization, and ongoing enhancements.
- Build scalable backend services and APIs.
- Collaborate directly with the founder to rapidly execute product ideas.
Integrations & Automation
- Integrate AI applications with HubSpot and other business systems.
- Build API integrations between internal platforms and third-party applications.
- Improve workflow automation and data synchronization across multiple systems.
- Support AI-powered business assistants and internal automation tools.
AI Architecture & Agent Ecosystems
- Build and maintain graph memory architectures.
- Design secure information-sharing between AI agents.
- Implement memory management and data segmentation strategies.
- Ensure privacy controls and security boundaries across AI systems.
- Optimize AI performance, reliability, and scalability.
Required Experience & Skills
Must-Have
- 5+ years of professional software engineering experience.
- Strong experience building production AI applications.
- Proven experience developing autonomous AI agent systems.
- Experience implementing multi-agent orchestration and AI workflows.
- Strong Python development experience.
- Strong Node.js development experience.
- Working knowledge of Java.
- Experience integrating Large Language Models (LLMs) into production software.
- Strong prompt engineering experience for production environments.
- Experience building AI systems with graph memory and agent memory management.
- Experience designing secure AI architectures with data segmentation and privacy controls.
- Experience integrating APIs and business platforms.
- Hands-on experience integrating HubSpot or Salesforce into custom applications.
- Strong understanding of modern web application development.
- Experience using:
- Claude Code
- Cursor
- Replit
- OpenClaw (or equivalent AI engineering frameworks)
- Excellent written and spoken English communication skills.
- Ability to work independently with minimal supervision.
What Makes You a Strong Fit
- You have built sophisticated AI systems that are running in production.
- You enjoy implementing complex technical solutions quickly and accurately.
- You are comfortable working directly with a founder and turning ideas into working software.
- You proactively solve problems without waiting for detailed specifications.
- You thrive in fast-moving startup environments.
- You communicate clearly and are comfortable discussing technical topics live with stakeholders.
What Does a Typical Day Look Like?
You'll spend most of your day building and improving AI-powered applications, expanding autonomous agent workflows, integrating business systems, and implementing new features across multiple products.
You'll work closely with the founder to execute technical requirements, optimize production systems, build new AI capabilities, and continuously improve the company's AI ecosystem.
Success in this role comes from delivering reliable, scalable AI systems that help automate business operations and accelerate product development.
Interview Process
- Initial Recruiter Screening
- Live Technical Interview
- Offer Stage
What Happens After You Apply
Right after you apply, you'll receive an email invitation from Spark Hire to record your Intro Video.
It's a short, self-recorded video completed on your own time and is the final step that completes your application.
Instead of repeating yourself across multiple screening calls, you'll have one opportunity to introduce yourself and showcase your communication skills. Hiring managers review your video before scheduling interviews, making the hiring process faster and more efficient.
Please watch for the invitation from Spark Hire in both your inbox and spam folder.
Originally posted on Himalayas