出海雷达

Senior AI Engineer

AI开发工程限定地区（需当地身份）与中国几乎无重叠，需长期倒时差
公司Alabama Solutions
薪资未公开
工作地点Argentina, Uruguay
地域资格限定地区（需当地身份）
时区要求与中国几乎无重叠，需长期倒时差
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 Argentina、Uruguay 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。
作息提示：与中国几乎无重叠，需长期倒时差。
关于本页中文：职位描述由本机离线模型翻译，属机器翻译，供快速判断用；正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

我们正在寻找具有强大的软件工程背景和设计，开发和部署生产准备的人工智能解决方案实践经验的高级 AI 工程师。理想候选人将结合坚实的软件开发和解决方案设计经验与生成 AI,大语言模型，RAG 架构，AI 代理和基于云的 AI 服务的实际知识。你将密切合作与软件工程师，建筑师和业务利益相关者来确定机遇，定义技术解决方案，建立以人工智能为主动应用程序，并从概念证明到生产。· 设计，开发和部署可扩展的 AI 和生成 AI 解决方案。· 建立基于 LLM 的应用程序，智能助理，副驾驶员，人工智能代理人和自动化工作流程。· 设计和实施检索增强代 (RAG) 架构。· 实现语义搜索，嵌入式，知识检索和向量数据库解决方案。•通过 Azure OpenAI,OpenAIAPI 或相等 AI 平台整合大型语言模型。· 开发提示，工具，调用功能的工作流程和代理编排机制。·根据每个使用情况评估并选择人工智能模型，框架和建筑。· 定义评估标准，监测人工智能解决方案的准确性，质量，延迟，安全性和成本。· 将人工智能能力集成到现有的软件产品和企业应用中。·将业务需求转化为可扩展，安全和生产式技术解决方案。·提供技术领导力并确定人工智能倡议的开发标准和最佳实践。·与跨学科的技术和商业团队合作。要求 · 6年以上在软件开发，解决方案设计或应用架构方面的专业经验。· 2年以上在设计和实施人工智能方案方面实践专业经历。· 经验证明开发生成人工智能和大型语言模型应用。· 与 RAG,快速工程，嵌入式，语义搜索和矢量数据库的强大经验。· 构建人工智能代理和实现工具调用或函数调用的经验。• 集成 Azure OpenAI,OpenAI API 或相当于云计算的人工智能服务的经验；· 用 Python 和/或 C#/.NET 进行软件开发的强大的经验。

查看英文原文

We are looking for a Senior AI Engineer with a strong software engineering background and hands-on experience designing, developing, and deploying production-ready Artificial Intelligence solutions.
The ideal candidate will combine solid software development and solution design experience with practical knowledge of Generative AI, Large Language Models, RAG architectures, AI agents, and cloud-based AI services.
You will work closely with software engineers, architects, and business stakeholders to identify opportunities, define technical solutions, build AI-powered applications, and take them from proof of concept to production.
Responsibilities

  • Design, develop, and deploy scalable AI and Generative AI solutions.
  • Build LLM-powered applications, intelligent assistants, copilots, AI agents, and automated workflows.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures.
  • Implement semantic search, embeddings, knowledge retrieval, and vector database solutions.
  • Integrate Large Language Models through Azure OpenAI, OpenAI APIs, or equivalent AI platforms.
  • Develop prompts, tools, function-calling workflows, and agent orchestration mechanisms.
  • Evaluate and select AI models, frameworks, and architectures according to each use case.
  • Define evaluation criteria and monitor the accuracy, quality, latency, security, and cost of AI solutions.
  • Integrate AI capabilities into existing software products and enterprise applications.
  • Transform business requirements into scalable, secure, and production-ready technical solutions.
  • Provide technical leadership and define development standards and best practices for AI initiatives.
  • Collaborate with multidisciplinary technical and business teams.

Requirements

  • 6+ years of professional experience in software development, solution design, or application architecture.
  • 2+ years of hands-on professional experience designing and implementing Artificial Intelligence solutions.
  • Proven experience developing Generative AI and Large Language Model applications.
  • Strong experience with RAG, Prompt Engineering, embeddings, semantic search, and vector databases.
  • Experience building AI agents and implementing Tool Calling or Function Calling.
  • Experience integrating Azure OpenAI, OpenAI APIs, or equivalent cloud-based AI services.
  • Strong software development experience with Python and/or C#/.NET.
  • Experience designing and integrating REST APIs.
  • Knowledge of Git, relational databases, software architecture, and cloud-based solutions.
  • Experience taking AI prototypes or proofs of concept into production.
  • Ability to translate business requirements into technical AI solutions.
  • Ability to lead technical decisions and collaborate with software development teams.

Preferred Qualifications

  • Experience with Azure OpenAI Service, Azure AI Foundry, Azure AI Search, or Azure Machine Learning.
  • Experience with Semantic Kernel, LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.
  • Knowledge of Model Context Protocol (MCP).
  • Experience with AI evaluation, observability, guardrails, and prompt management.
  • Experience with fine-tuning or model customization.
  • Experience with Docker, Kubernetes, CI/CD, or Azure DevOps.
  • Experience with Angular, React, or modern frontend technologies.
  • Experience with Azure, AWS, or Google Cloud Platform.
  • Knowledge of Machine Learning, PyTorch, TensorFlow, or Scikit-learn.
  • Knowledge of Responsible AI, AI governance, data privacy, and application security.
  • Previous experience as a Technical Lead, Software Architect, AI Solutions Architect, or mentor.

Benefits

  • Remote Work and Flexibility: We offer the option to work remotely, providing you with the flexibility to manage your time and achieve a healthy work-life balance. If you prefer, you can also choose to work from our office in Montevideo according to your preferences.
  • Training and Development: We encourage professional growth and continuous learning. We provide unlimited access to an educational platform, internal courses, and training opportunities, allowing you to enhance your skills and stay updated on the latest technologies and trends.

Originally posted on Himalayas

本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。 本站只做信息聚合展示，不参与招聘流程，也不向求职者收取任何费用。

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