远程工作雷达

高级全栈工程师

Senior Full Stack Engineer

开发工程未标注地域
公司hirehangar
薪资$2,500 - $3,000
工作地点Mexico - Monterrey / Parugauy - Asuncion / Ecuador - Guayaquil / Ukraine - Kharkiv / Egypt - Cairo / South Africa - Johannesburg / Columbia - Bogotá / Columbia - Medellín / Chile - Santiago / Uruguay - Montevideo / Peru - Lima / Inida - New Delhi / Dominican Republic - Santo Domingo / Nicaragua - Managua / Jamaica - Kingston / Argentina - Buenos Aires / Panama - Panama City / Honduras - Tegucigalpa / South Africa - Cape Town / Poland - Warsaw / Mexico - Mexico City
地域资格未标注地域
时区要求无特别要求
用工类型Contract
发布时间11 天前
数据来源Ashby
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职位名称 高级全栈工程师

地点 远程

时区 美国时区(PST - EST)

职位概述

这是一个高自主权的工程师职位,要求能够同时胜任后端自动化流程架构和打造精美的、数据丰富的界面。你将跨整个技术栈工作,与 AI/ML 工程师、产品经理和 UX 设计师紧密协作,交付功能强大、可靠且易于使用的自动化能力。

主要职责

- 架构并开发集成到我们核心 SaaS 平台的 RPA 代理流程

- 构建响应式、数据丰富的前端界面,向终端用户展示自动化洞察

- 设计语义上下文层,为 RPA 代理提供做出智能决策所需的知识

- 与 AI/ML 工程师协作,将语言模型和决策引擎整合到自动化流程中

- 为数据平台层做贡献——包括数据采集、转换以及通过 API 和 UI 进行暴露

- 参与设计评审、代码评审和技术路线图规划

- 指导中级工程师,帮助制定工程最佳实践

必备资格

- 具有高级全栈开发经验(Node.js 或 Python 后端;React 或 Vue 前端)

- 有构建或集成 RPA 解决方案的经验(UiPath、Automation Anywhere、Power Automate 或自定义代理框架)

- 熟悉 LLM 集成模式,包括 RAG、工具调用和提示工程

- 有语义或知识图谱层、基于本体的系统或结构化上下文存储的经验

- 对 RESTful 和事件驱动的 API 设计有扎实的理解

- 有云原生基础设施的经验(AWS、Azure 或 GCP)

- 必须有远程工作经验,并熟练使用远程协作工具(Slack、Zoom、Google Workspace 或类似)

优先考虑的资格

- 有向量数据库(如 Pinecone、Weaviate 或 pgvector)的经验

- 有代理型 AI 框架(如 LangChain、AutoGen 或 CrewAI)的背景

- 熟悉数据流程工具(如 dbt、Airflow 或 Spark)

- 有在 B2B SaaS 产品环境工作的经验

工具与技术

- Python / Node.js

- React / TypeScript

- RPA 平台(UiPath、Power Automate 或类似)

- 云平台(AWS、Azure 或 GCP)

- 向量或图数据库

- Slack、Zoom、

查看英文原文

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Job Title Senior Full Stack Engineer

Location Remote

Time Zone US Time Zones (PST - EST)

Role Overview

This is a high-ownership role for an engineer who is equally comfortable architecting backend automation pipelines and crafting polished, data-rich interfaces. You will work across the full stack, collaborating closely with AI/ML engineers, product managers, and UX designers to ship automation capabilities that are powerful, reliable, and intuitive to use.

Key Responsibilities

- Architect and develop RPA agent pipelines integrated into our core SaaS platform

- Build responsive, data-rich frontend interfaces that surface automation insights to end users

- Design semantic context layers that give RPA agents the knowledge they need to make intelligent decisions

- Collaborate with AI/ML engineers to integrate language models and decision engines into automation workflows

- Contribute to the data platform layer — ingestion, transformation, and exposure via APIs and UI

- Participate in design reviews, code reviews, and technical roadmap planning

- Mentor mid-level engineers and help define engineering best practices

Required Qualifications

- Senior-level full stack development experience (Node.js or Python backend; React or Vue frontend)

- Proven experience building or integrating RPA solutions (UiPath, Automation Anywhere, Power Automate, or custom agent frameworks)

- Familiarity with LLM integration patterns including RAG, tool-calling, and prompt engineering

- Experience with semantic or knowledge graph layers, ontology-based systems, or structured context stores

- Strong grasp of RESTful and event-driven API design

- Exposure to cloud-native infrastructure (AWS, Azure, or GCP)

- Must have prior remote work experience and be fluent with remote collaboration tools (Slack, Zoom, Google Workspace, or similar)

Preferred Qualifications

- Experience with vector databases such as Pinecone, Weaviate, or pgvector

- Background in agentic AI frameworks such as LangChain, AutoGen, or CrewAI

- Familiarity with data pipeline tooling including dbt, Airflow, or Spark

- Experience working in a B2B SaaS product environment

Tools & Technology

- Python / Node.js

- React / TypeScript

- RPA platforms (UiPath, Power Automate, or similar)

- Cloud platforms (AWS, Azure, or GCP)

- Vector or graph databases

- Slack, Zoom, Google Workspace

Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.

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