Requirements

Expected technologies

Python

LangChain

LangGraph

LangFuse

AWS

PostgreSQL

Optional technologies

MCP

A2A

Our requirements

• Strong hands-on experience with Python
• Proven background in AI / Data Science
• Experience with LangChain or similar libraries for LLM integrations
• Familiarity with LangGraph or comparable tools for workflow orchestration
• Experience with LangFuse / LangSmith or other tools focused on observability and monitoring
• Experience working with AWS services (e.g. Lambda, S3, ECS, SageMaker, or similar)
• Working knowledge of databases and backend technologies (e.g. PostgreSQL, agent core frameworks)
• English — B2

Optional

• MCP (Model Context Protocol): experience implementing or integrating models via MCP for secure access to external tools or data
• Tool calling: understanding of how LLMs can execute external APIs or functions beyond text generation
• A2A (Agent-to-Agent): familiarity with systems where multiple AI agents communicate and collaborate

Your responsibilities

• Building the core of an internal AI framework in Python
• Integrating various Large Language Models (LLMs)
• Setting new standards for security, prompting, orchestration