LangChain / LlamaIndex / Semantic Kernel / Spring AI
- Experience building multi-agent systems and agent orchestration pipelines
- Experience building MCP servers for tool and context exposure
- Experience with LangGraph / Strands or similar agent workflow orchestration tools
- Experience implementing A2A (Agent-to-Agent) communication patterns
- Proficient in prompt engineering, memory management, and LLM orchestration
- Experience with at least one Vector Database
- API development using FastAPI, Flask, Spring Boot, or Node.js
- Strong understanding of REST APIs, async processing, event-driven architectures
- Experience building microservices for AI agents.
Data & Storage
- Experience with:
PostgreSQL, MySQL, MongoDB
Object storage (S3, OCI, Azure Blob)
- Data preprocessing, chunking strategies, tokenization optimization
- Knowledge of metadata filtering and hybrid search