1158高级AI开发工程师
1158 Senior AI Developer
Intetics Inc. 是一家领先的美国科技公司，专注于定制软件应用开发、分布式专业团队创建、软件产品质量评估以及“全数字化”解决方案，现正在寻找一名 AI 开发者（LLM / RAG / 代理 AI）加入其创新团队。
候选人要求：资深 AI 开发者，8 年以上经验。具备扎实的 Python 技能，以及 LLM、生成式 AI、RAG 架构、代理 AI 和多智能体系统的实际操作经验。熟悉 Azure AI Foundry、Azure OpenAI、Azure AI Search、Azure App Service、Azure Functions、LangChain、LangGraph、Semantic Kernel、AutoGen 和 CrewAI。了解 CI/CD、Docker、GitHub Actions 和 Azure DevOps。必须拥有美国国籍。英语水平 B2+。
核心技能：Python、LLM、生成式 AI、RAG、向量数据库、代理 AI、多智能体系统、Azure AI 堆栈、LangChain、LangGraph、Semantic Kernel、AutoGen、CrewAI、CI/CD、Docker、GitHub Actions、Azure DevOps。
项目职责：
- 使用大型语言模型（LLMs）设计和开发人工智能驱动的应用程序。
- 利用嵌入、向量数据库和企业知识源构建检索增强生成（RAG）解决方案。
- 开发具有自主规划、推理和工具使用的代理 AI 应用程序。
- 设计和实现多智能体编排框架，使多个 AI 智能体协作执行复杂的工作流程。
- 使用 Azure AI Foundry、Azure OpenAI、Azure AI Search 和 Azure App Service 部署和管理 AI 解决方案。
- 使用 Python 构建 API 和后端服务。
- 与架构师、产品团队和业务干系人合作，交付可投入生产的 AI 解决方案。
- 参与架构讨论，为 AI 最佳实践和技术标准做出贡献。
时长：6 个月及以上
候选人的画像：
经验：8 年以上
必须拥有美国国籍。
必备条件：
• 精通 Python。
- 具有 LLM 和生成式 AI 解决方案的实际操作经验。
- 具有实施检索增强生成（RAG）架构的经验。
- 了解代理 AI 概念和多智能体系统。
- 具有 Azure AI Foundry、Azure OpenAI、Azure AI Search、Azure App Service、Azure Functions、Azure Storage 和 Azure Key Vault 的使用经验。
- 具有 LangChain、LangGraph、Semantic Kernel、AutoGen 和/或 CrewAI 的实际操作经验。
- 具有向量数据库和基于嵌入的搜索解决方案的经验。
- 了解 CI/CD 流程
查看英文原文
Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a AI Developer (LLM / RAG / Agentic AI) to join its innovative team.
Candidate Profile: Senior AI Developer with 8+ years of experience. Strong Python expertise and hands-on experience with LLMs, Generative AI, RAG architectures, Agentic AI, and Multi-Agent Systems. Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure App Service, Azure Functions, LangChain, LangGraph, Semantic Kernel, AutoGen, and CrewAI. Knowledge of CI/CD, Docker, GitHub Actions, and Azure DevOps. US citizenship is required. English level B2+.
Core Skills: Python, LLMs, Generative AI, RAG, Vector Databases, Agentic AI, Multi-Agent Systems, Azure AI Stack, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, CI/CD, Docker, GitHub Actions, Azure DevOps.
Project Responsibilities:
- Design and develop AI-powered applications using Large Language Models (LLMs).
- Build Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and enterprise knowledge sources.
- Develop Agentic AI applications with autonomous planning, reasoning, and tool usage.
- Design and implement multi-agent orchestration frameworks where multiple AI agents collaborate to execute complex workflows.
- Deploy and manage AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure App Service.
- Build APIs and backend services using Python.
- Collaborate with architects, product teams, and business stakeholders to deliver production-ready AI solutions.
- Participate in architecture discussions and contribute to AI best practices and technical standards.
Duration: 6 months+ and more
Candidate's Portrait:
Experience: 8+ years
US citizenship is mandatory.
Must-haves:
• Strong proficiency in Python.
- Hands-on experience with LLMs and Generative AI solutions.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures.
- Knowledge of Agentic AI concepts and Multi-Agent Systems.
- Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure App Service, Azure Functions, Azure Storage, and Azure Key Vault.
- Practical experience with LangChain, LangGraph, Semantic Kernel, AutoGen, and/or CrewAI.
- Experience with vector databases and embedding-based search solutions.
- Knowledge of CI/CD pipelines, Docker, GitHub Actions, and Azure DevOps.
- Experience building REST APIs and backend services using Python.
Nice to Have:
- Experience working in enterprise AI projects.
- Knowledge of prompt engineering and evaluation frameworks.
- Experience with monitoring, observability, and AI
Originally posted on Himalayas