高级开发工程师，GenAI 系统

该职位来源于猎聘 Roles and Responsibilities:

• GenAI Claims Assessment — Application Development (30%)
• Elicit and analyze business requirements, translating claims workflows into AI-ready technical specifications.
• Design and implement Python-based AI services covering multimodal material recognition (documents, images), structured information extraction, and RAG-powered clause retrieval.
• Develop case analysis, rule validation, risk alert, and review opinion generation modules using LLM reasoning and prompt engineering.
• Build and maintain Agentic workflows with multi-step reasoning, tool calling, and seamless integration with core claims systems and rule engines.
• Establish LLM evaluation and monitoring dashboards (accuracy, hallucination rate, latency, cost) to ensure review conclusions are traceable, auditable, and production-reliable.
• Support GenAI claims assessment expansion across multiple business scenarios, delivering scalable and efficient solutions.
• Systems Support & Maintenance (35%)
• Troubleshoot and resolve issues for GenAI claims assessment services to ensure production stability and business continuity.
• Own incident management end-to-end, including root cause analysis, resolution, and follow-up for application system issues.
• Ensure all incidents are responded to and resolved within defined SLA targets.
• Continuously optimize system performance through prompt iteration, RAG retrieval tuning, and model inference efficiency improvements.

Project Delivery (20%)

• Lead or actively participate in projects through the full lifecycle — from requirements gathering, solution design, and development to deployment and post-launch review.
• Coordinate effectively with internal and external teams to ensure on-target project delivery.
• Manage vendor relationships and task assignments to maintain delivery quality and timeline control.
• IT Processes & User Satisfaction Improvement (15%)
• Adhere to IT standard processes and best practices for application development, CI/CD, and code quality to enhance team efficiency.
• Produce and maintain high-quality technical documentation, including system design specs, API references, and operational runbooks.
• Demonstrate strong communication skills in both oral and written forms, effectively bridging technical teams and business stakeholders. Job Requirements:
• Bachelor’s degree or above in Computer Science, Artificial Intelligence, Software Engineering, Mathematics, or a related discipline.
• 3+ years of hands-on experience in Python backend or AI/algorithm engineering, with proficiency in at least one AI agent orchestration framework (e.g., LangGraph, PydanticAI, DSPy, DeepAgents).

  Experience with Spring Boot, Spring AI, Tomcat, and Kubernetes (K8s) is a plus.

• Solid experience with the RAG (Retrieval-Augmented Generation) technology stack, including embedding models, reranker models, hybrid retrieval strategies, metadata filtering, and citation/source tracing.
• Familiar with relational databases, vector databases, caching, and object storage solutions (e.g., PostgreSQL, Elasticsearch / OpenSearch, Redis, MinIO).
• 1+ years of experience in project management, with demonstrated coordination and communication skills in working with business users and stakeholders.
• Hands-on experience in NLP and knowledge graph technologies is a strong plus.
• Good verbal, written and presentation communication skills of both mandarin and English
• Life insurance knowledge is preferred
• Prior experience in developing and maintaining GenAI claims assessment applications is preferred.