Guidewire--AI Engineer--Associate--Shanghai

Generative AI Engineer

**Job Overview**

Responsible for designing and delivering generative AI applications from scratch, including context-enhancement paradigms such as RAG (Retrieval-Augmented Generation), CAG (Context-Augmented Generation), and intelligent agent orchestration.  
Priority is given to delivering production-grade systems on Azure that are maintainable, measurable, scalable, and ensure performance, compliance, and cost optimization.

**Key Responsibilities**

- Design and implement application architectures based on RAG/CAG: data ingestion, chunking and embedding, retrieval and re-ranking, context injection, and response generation.  
- Build and orchestrate multi-agent workflows: task decomposition, tool invocation.  
- Develop end-to-end pipelines and service integrations using frameworks like LangChain, LangGraph (API, queuing, event-driven).  
- Deploy AI and infrastructure services on Azure (preferred) or AWS/GCP, including vector search, inference services, model hosting, monitoring, and logging.  
- Establish evaluation and monitoring systems: offline/online evaluation, A/B testing, data drift and quality monitoring, cost and latency optimization.  
- Implement prompt/tool/memory designs with version control to ensure reproducibility and maintainability.  
- Promote engineering practices and automation: CI/CD, environment management.

**Requirements (Must Have)**

- Bachelor’s degree in Computer Science or related fields.  
- 1 to 3 years of relevant work experience.  
- Proficient spoken English skills.  
- Good communication, documentation, and interpersonal skills.  
- Solid generative AI development skills, familiar with context-enhanced generation paradigms such as RAG/CAG and common design patterns (chunking, embedding selection, vector indexing and re-ranking, context length/window management, cache enhancement).  
- Practical experience in agent development, understanding task planning, tool invocation, memory/state management, and graph semantics (states/nodes/edges) in LangGraph.  
- Familiar with LangChain, LangGraph ecosystems and capable of customizing chains, tools, executors, and callback monitoring.  
- Experienced with AI-related services and configurations on Azure such as Azure OpenAI, Azure AI Search (vector retrieval), Grounding Bing Search, etc.  
- Strong software engineering skills: proficiency in at least one main language (Python/TypeScript), API design, unit/integration testing, and performance tuning.

**Preferred Qualifications**

- Experience using AI-assisted development tools such as Claude Code, AgentSkills, Cursor, Copilot, OpenAI o3 with demonstrated practical outcomes.  
- Experience with Power Platform (Copilot Studio, Power Apps, etc.) is a plus.  
- Machine learning/data analysis experience: feature engineering, statistical analysis, model selection and tuning, A/B test design.  
- Familiarity with other cloud platforms: AWS (Bedrock), GCP (Vertex AI, BigQuery, Cloud Run).  
- Good understanding of software development lifecycle; Agile experience is a plus.