【共创】Java开发工程师

Tasks

• Apply LLM engineering for prompting and structured output
• Build RAG pipeline for retrieval and generation
• Design and implement LLM agent end to end
• Develop multi agent collaboration and orchestration
• Implement agent runtime and session context
• Set up offline evaluation and online metrics system

Perks/Benefits

• N/A

Skills/Tech-stack

Amazon RDS | Anthropic Claude | Autogen | Chunking | Cost Optimization | CrewAI | Elasticsearch | Function Calling | Hybrid search | Hyde | JUnit 5 | Java | Java 17 | Kafka | Langchain | Langgraph | Latency optimization | Milvus | MySQL | OkHttp | OpenAI API | PGVector | Plan-and-Execute | Prompt versioning | Qdrant | Query rewriting | RAG | React | Redis | Reflection | Reranking | RocketMQ | SSE | Spring Boot | Spring StateMachine | State Machine | Structured Output | System design | Unit Testing | Vector embeddings