大模型应用开发专家
Tasks
- Build backend services with Spring Boot
- Design LLM application architecture
- Develop multi turn dialogue logic
- Ensure production high availability and scalability
- Implement agent task orchestration
- Implement ci cd for ai services
- Implement core code for LLM systems
- Integrate AI algorithms with Python
- Integrate GraphRAG with vector retrieval
- Maintain cache and message queues
- Optimize RAG systems
- Optimize knowledge graph queries
- Select and integrate vector databases
- Set up monitoring and alerting
- Standardize model interface protocols
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | ClickHouse | Cypher | Docker | Entity Linking | Entity recognition | GQL | GraphRAG | High Availability | High concurrency | Java | Kafka | Knowledge graph | Kubernetes | Langchain | Llamaindex | Microservices | Milvus | Monitoring | MySQL | Named Entity Recognition | NebulaGraph | Neo4j | Pinecone | Python | RAG | Redis | Relation extraction | Reranking | Semantic Search | Spring Boot | Spring Cloud | Vector Database | Weaviate
Education
N/A
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