Vacancy Description
Senior Agentic AI Builder
- Agentic AI implementation experience in production setting
- A2UI and AGUI experience
- Know-how of AI-driven/Agentic SDLC
- Python - Expert-level proficiency; ability to write production-quality async code, work with complex class hierarchies, and debug multi-layer systems
- LangGraph / LangChain - Hands-on experience building stateful, multi-step AI agent workflows with tool calling, checkpointing, and conditional routing
- RAG - Practical experience implementing retrieval-augmented generation pipelines for context-aware AI applications
- MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data communication
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