远程工作雷达

高级全栈软件工程师

Senior Fullstack Software Engineer

开发工程限定地区(需当地身份)
公司Softgic
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Full Time
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。

职位概述:你将作为创始级别的高级工程师,在一个小型、快速发展的团队中从零开始构建我们的核心平台。这是一项全新的开发工作——没有遗留代码需要维护,只有从第一天起就对产品产生重大影响的工作。我们将AI开发工具(如Claude Code、Cursor、Copilot)视为*核心工作流引擎*,而不仅仅是辅助工具——你每天都会使用它们,在几天内完成其他人需要几周才能完成的功能开发。
你将负责整个技术栈:
- 面向技术人员的、适用于繁忙车间环境的移动优先、坚固的用户界面
- 后端系统,用于跟踪结果、标记缺失步骤,并自动生成文档、报价和发票
- 介于两者之间的所有内容:数据模型、业务逻辑、集成和智能层

你将构建的内容:
核心平台引擎 一个工作流系统,指导技术人员逐步完成安全检查、系统校准和维修后的重置——大幅减少错误、遗漏和合规差距。
AI驱动的智能 自适应检查清单和审计轨迹,根据车辆品牌/型号、维修类型和安全法规自动调整——确保不会遗漏任何内容,所有内容都得到记录。
收入与合规工具 仪表板、警报和报告,帮助车间老板捕捉每一项可计费的服务,降低责任风险,并证明完全符合行业标准。
以技术人员为中心的界面 简单、快速且耐用的移动端/平板界面——专为真实的车间环境设计:易于一目了然地查看,难以误触,即使手脏或戴着手套也能完全使用。
集成 连接现有工具:OEM诊断系统、维修管理平台和车辆数据API——使我们的系统无缝融入车间现有的工作流程。
6. 高级AI功能:
- 基于大语言模型的诊断摘要和自然语言文档
- 自动将维修报价转换为分步工单
- 智能自动化,将原始数据转化为清晰、可操作的指令

要求

核心技能与要求

我们寻找在以下方面有深厚经验和强大能力的人:

  • 系统架构与数据建模:设计可扩展、可维护且安全的系统。
  • 安全:认证、授权和数据保护的最佳实践。
  • 前端:React、TypeScript、现代UI模式和移动优先的响应式设计。
  • 后端:Node.js、Python、REST API和服务设计。
  • 数据:PostgreSQL
查看英文原文

This is a remote position.

Role Overview:You will be a founding-level senior engineer in a small, fast-moving team building our core platform from scratch. This is greenfield development — no legacy code to maintain, just high-impact work that shapes the product from day one. We treat AI development tools (like Claude Code, Cursor, Copilot) as *core workflow engines*, not just helpers — you will use them daily to build features in days that would take others weeks.
You will own the full stack:- Mobile-first, rugged user interfaces designed for technicians working in busy shop environments - Backend systems that track results, flag missing steps, and automatically generate documentation, quotes, and invoices - Everything in between: data models, business logic, integrations, and intelligence layers
What You Will Build:Core Platform Engine A workflow system that guides technicians step-by-step through safety scans, system calibrations, and post-repair resets — drastically reducing errors, omissions, and compliance gaps. AI-Powered Intelligence Adaptive checklists and audit trails that adjust automatically based on vehicle make/model, repair type, and safety regulations — ensuring nothing is missed and everything is documented. Revenue & Compliance Tools Dashboards, alerts, and reports that help shop owners capture every billable service, reduce liability, and prove full compliance with industry standards. Technician-First Interfaces Simple, fast, and durable mobile/tablet UIs — built for real shop conditions: easy to read at a glance, hard to tap incorrectly, and fully usable even with dirty or gloved hands. Integrations Connect with existing tools: OEM diagnostic systems, repair management platforms, and vehicle data APIs — so our system fits seamlessly into how shops already work. 6. Advanced AI Features:- LLM-powered diagnostic summaries and natural-language documentation - Automatic conversion of repair estimates into step-by-step work orders - Intelligent automation that turns raw data into clear, actionable instructions
Requisitos

Core Skills & Requirements

We look for deep experience and strong capability in:

  • System Architecture & Data Modeling:Designing scalable, maintainable, and secure systems.
  • Security:Authentication, authorization, and data protection best practices.
  • Frontend:React, TypeScript, modern UI patterns, and mobile-first responsive design.
  • Backend:Node.js, Python, REST APIs, and service design.
  • Data:PostgreSQL / SQL, database design, and performance optimization.
  • Cloud Infrastructure:GCP, Azure, or AWS — deployment, scaling, anddevopsbasics
  • AI Integration:Working with LLMs, AI tools, and intelligent features.
  • DevOps:CI/CD pipelines, automation, and reliable delivery workflows.

Ideal Candidate Profile

You area greatfit if:

  • You have 5+ years offullstackdevelopment experience and can take features fromideato production alone.
  • You love AI coding tools — you use them daily, know how to get the best out of them, and see them asgame-changers.
  • You build software for real people — you care deeply about making complex things simple, especially for non-technical users.
  • You move fast, but never compromise on safety, accuracy, or reliability — especially important in a regulated, safety-critical industry.
  • You are motivated by real-world impact: your code will prevent mistakes, protect people, and help businesses succeed.
  • You thrive in early-stage environments: you can handle ambiguity, define scope, prototype, and iterate quickly.
  • You are customer-obsessed, open-minded, and always learning.

Nice-to-Have Qualifications:

  • Experience or familiarity with the automotive repair industry.
  • Knowledge of OBD-II, ADAS systems, repair workflows, or shop management software.
  • Experience buildingcompliant softwarein regulated fields: automotive safety, healthcare, fintech, or insurance.
  • Background in hardware, embedded systems, or vehicle data protocols (CAN bus, diagnostics APIs).
  • Hands-on work withLLM pipelines: structured outputs, retrieval-augmented generation (RAG), or AI agent workflows.

Originally posted on Himalayas

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