高级全栈工程师（AI 方向）
Senior Fullstack Engineer with AI (f/m/d)
Aras 是产品生命周期管理（PLM）和工程 AI 的数字主线解决方案的领先提供商。作为增长最快的 PLM 公司之一，我们的原生 AI、低代码平台能够快速交付灵活的解决方案，将跨学科和职能的团队连接到关键产品数据和代理 AI，贯穿整个产品生命周期和扩展价值链。
全球最大的制造商使用 Aras Innovator 来管理复杂的产品生命周期，加速创新，提高运营效率，并更快地将产品推向市场。我们与一些世界上最具创新力的行业中的公司合作，包括汽车、工业设备、航空航天与国防、高科技和生命科学。
在 Aras，我们培养开放协作的文化。我们重视员工，支持他们的个人成长，并提供一个职业可以有多种发展路径的环境。
Aras 软件主要基于微软技术，包括 .NET、SQL Server 以及广泛的 Azure 服务。我们使用 Docker、Kubernetes 和现代 Web 技术（TypeScript、React），以及 OData、OAuth、OpenTelemetry 等开放标准。
我们正在寻找一名高级全栈开发人员，以推动我们产品生命周期管理（PLM）应用程序的 AI 能力。在此职位中，您将设计并交付 AI 平台和 AI 代理。理想的候选人具备扎实的软件工程能力，并拥有 AI 代理框架、云平台和现代部署实践的实际知识。
职责：
- 发现解决方案：与产品和相关方合作，探索问题，进行发现性实验，并快速优化范围。
- 设计并实现 AI 驱动的功能，利用大语言模型（LLM）、自然语言处理（NLP）和多模态 AI 提升用户体验、流程效率和决策能力。
- 开发企业知识管理系统，结合向量搜索、RAG 管道和语义检索，呈现准确且上下文相关的洞察。
- 使用各种聊天机器人开发框架和平台，开发对话式 AI 解决方案。
- 接触前沿技术：利用现代云原生工具（Azure、Docker、Kubernetes）、可观测性（OpenTelemetry、Grafana），并探索 AI 驱动的开发和自动化机会。
- 践行 DevOps：构建并负责 CI/CD 管道、GitOps 流程和渐进式交付策略，确保快速且安全的发布。
- 提供高质量的解决方案：编写
查看英文原文
Aras is a leading provider of digital thread solutions for product lifecycle management (PLM) and engineering AI. As one of the fastest growing PLM companies, our AI-native, low-code platform enables the rapid delivery of flexible solutions that connect teams across disciplines and functions to critical product data and agentic AI throughout the product lifecycle and extended value chain.
The world's largest manufacturers leverage Aras Innovator to manage complex product lifecycles, accelerate innovation, improve operational efficiency, and bring products to market faster. We collaborate with companies in some of the world's most innovative industries, including automotive, industrial equipment, aerospace and defense, high tech, and life sciences.
At Aras, we foster an open and collaborative culture. We value our people, support their personal growth, and provide an environment where careers can take many paths.
Aras software is primarily built on Microsoft technologies, including .NET, SQL Server, and a broad set of Azure services. We leverage Docker, Kubernetes, and modern web technologies (TypeScript, React), as well as open standards such as OData, OAuth, OpenTelemetry
We are seeking aSenior Full Stack Developerto advance the AI enablement of our Product Lifecycle Management (PLM) application. In this role, you will design and deliverAI Platform and AI Agents. The ideal candidate combines strong software engineering expertise with practical knowledge of AI Agent frameworks, cloud platforms, and modern deployment practices.
Responsibilities:
- Discover solutions: partner with product and stakeholders to explore problems, run discovery experiments, and refine scope quickly.
- Designand implement AI-powered features, leveraging LLMs, NLP, and multimodal AI to enhance user experience, process efficiency, and decision-making.
- Develop enterprise knowledge management systems that combine vector search, RAG pipelines, and semantic retrieval to surface accurate, context-aware insights.
- Develop conversational AI solutions using various chatbot development frameworks and platforms.
- Work on cutting-edge tech: leverage modern cloud-native tools (Azure, Docker, Kubernetes), observability (OpenTelemetry, Grafana), and explore opportunities with AI-powered development and automation.
- Embrace DevOps: build and own CI/CD pipelines, GitOps workflows, and progressive delivery strategies to ensure fast, safe releases.
- Deliver high-quality solutions: write clean, testable code; enforce best practices; and raise the bar for reliability, scalability, and performance.
- Drive delivery: take features from concept to production, ensuring outcomes are met and customers get value quickly.
- Continuously improve adopt new practices, share knowledge, and help shape our engineering culture.
Requirements:
- 7+ years in commercial software development, with a strong track record of delivering enterprise-grade solutions.
- Deep knowledge of .NET/C# and modern frameworks.
- Proficiency with web technologies (TypeScript, React)
- Hands-on experience building AI Agentsusing orchestration frameworks (LangChain/LangGraph, Microsoft Agent Framework). - AI experience is a must
- Experience with Retrieval-Augmented Generation (RAG),
- fine-tuning,prompt engineeringtechniques and
- Generative AI Evals
- Solid experience with cloud platforms (Azure preferred).
- Hands-on with Docker and Kubernetes
- Understanding and practical use of DevOps/GitOps practices: CI/CD pipelines, IaC (Terraform), and modern deployment strategies.
- Collaborative, team-oriented mindset with ability to thrive in Agile environments.
- Ability to drive discovery: problem framing, rapid prototyping, iterative scope refinement.
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Originally posted on Himalayas