Ai应用开发专家

Tasks

• Build backend services using Java and Python
• Coordinate with model team to standardize interfaces and manage CI/CD
• Design system architecture based on large models
• Develop knowledge graph and vector retrieval systems
• Ensure system stability and monitoring in production
• Implement core code for high-availability and scalable applications
• Integrate AI algorithms and tools with business logic
• Optimize RAG systems and enhance multi-turn dialogue logic
• Select and maintain middleware like vector databases and message queues

Perks/Benefits

• N/A

Skills/Tech-stack

AI Deployment | Application development | Big Model Ecosystem | Big model | Cloud | Cypher | Distributed Systems | Docker | Java | K8s | Kafka | Knowledge graph | Langchain | Llamaindex | Milvus | Model ecosystem | Multimodal Application Development | NER | NebulaGraph | Neo4j | Pinecone | Prompt engineering | Python | RE | Redis | Rerank | Semantic Search | Spring Boot | Vector Database | Weaviate