友邦科技
AI Application Developer
Skills
Mobile DevelopmentReactPythonJavaMicroservicesHTMLAILinuxProduct ManagerAzure
2 months ago
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Important information
Contract type:
Permanent
Location:
Chengdu, Sichuan, China
Work mode:
Onsite
Published on:
3 September 2026
What they need
该职位来源于猎聘 Roles and Responsibilities:
- Focus on the release lifecycle for multiple AI-powered products: Copilot, RAG Platform, and Agentic AI deliverables.
- Collaborate with development teams, architects, and design leads to ensure timely, high-quality releases.
- Partner with Product Manager to elicit, document, and validate product requirements with business units across underwriting, claims, marketing, distribution, and IT.
- Regularly engage with business unit stakeholders across the enterprise to gather requirements and feedback.
- Translate business objectives and user feedback into actionable development items.
- Participate in shaping the long-term platform portfolio strategy across generative AI offerings.
- Leverage metrics (velocity, lead time, customer satisfaction) to iterate on process and product. Job Requirements:
- Bachelor’s or above degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience in software engineering.
- Front-end development experience included Angular, React, Vue or other similar frameworks well. JS, HTML5, XML, JSON, CSS, Ajax, Jquery;back-end development experience -Java, Python.
- 5+ years’ experience in related language or platform: Cloud platforms, Linux/Windows/Unix platforms, Web/mobile applications
- Knowledge of Software development life cycle (SDLC)
- Proven experience delivering enterprise-grade software products in agile environments.
- Adept at translating ambiguous business needs into tangible technical deliverables.
- English can be used as working language. Preferred (not a must):
- AI projects experience.
- Understanding of GenAI architectures (LLMs, retrieval pipelines, vector stores) and enterprise integration patterns.
- Familiarity with modern DevOps/CI-CD toolchains, cloud platforms (Azure preferred), and API-driven microservices.
- Familiarity with MLOps, LLMOps, or similar AI delivery frameworks.
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