Allianz Global Investors · 香港

AI Software Engineer

为资产管理场景设计、开发和部署全栈生成式 AI 应用。

狀態未確認核驗時間未確認

目前未能確認此職位是否仍在招聘，請先到原始來源核實。

薪酬未公開
學歷计算机、信息系统、工程、数据科学相关大学学位或同等资历
語言未說明
經驗至少 3 年全栈和敏捷团队经验，并有至少 2 年生产 GenAI 开发经验

工作內容

  • 把业务用例和原型转化为可扩展的生产应用。
  • 开发前后端、检索系统和 AI 输出评估流程。

職位要求

  • 熟练 Python、LLM、RAG、MCP、智能体系统和生产向量数据库。
  • 有 React／TypeScript／Node.js 实践；Azure、容器与资管经验加分。
查看招聘來源的要求摘錄

原始資料於 2026-11-04 查閱；內容可能已更新，請查看原始職位。

What You Bring
Education:
University degree or equivalent in Computer Science, Information Systems, Engineering, Data Science or related fields
Experience
A minimum of three years’ experience in full stack application development, including delivery of production applications, is required
Ideally industry experience in Investment Banking/Asset Management
A minimum of two years’ industry experience in GenAI application development, including deploying and supporting GenAI applications in production
A minimum of three years’ experience working with agile teams, required
Knowledge & Technical Skills
Proficiency in Python, including experience with libraries and frameworks relevant to GenAI application development (e.g., FastAPI, LangChain, and Microsoft Agent Framework / Semantic Kernel)
Detailed understanding and hands-on experience with large language models (LLMs), agentic AI, multi-agent system design, retrieval-augmented generation (RAG) architecture, embedding techniques, prompt engineering, and Model Context Protocol (MCP).
Experience with LLMOps and evaluating GenAI output quality and reliability.
Experience with AI-assisted software development using coding agents.
Experience with Databricks is a plus.
Experience with modern web development frameworks and languages, including React, TypeScript, and Node.js, with a background in building and maintaining both front-end and back-end applications
Experienced working with production-grade vector databases (e.g., Azure AI Search, MongoDB, Cosmos DB, pgvector, Chroma, or Milvus) for efficient storage and retrieval of embeddings
Ideally experienced with container technologies (Docker, Kubernetes) and Cloud native services in Azure
Experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL)
Experience with Agile development and DevOps practices using tools such as Harness, GitHub, JFrog, Jira, and Datadog
Ability to create unit tests, integration tests using common testing frameworks (e.g., pytest, Playwright)
Ideally knowledge and strong understanding of component-based architecture, state management and intuitive UX design principles
AI skills: Microsoft CoPilot

來源：LinkedIn · 資料查閱日期 2026-11-01。職位狀態及要求請以原始招聘頁面為準。

查看原始職位 ↗在 HKJob 查看

目前未能確認此職位是否仍在招聘，請先到原始來源核實。