AI Architect

Role Overview: You should ideally be familiar with integrating an LLM. As MCP is quite new, you must have experience integrating an LLM with a native interface and understand the LLM data model and API at an advanced level. Key Responsibilities: - Have significant experience in AI and LLMs (6-9 years) and be prepared to work in Paris work timing. - Possess an Ops mindset, being able to define the integration process. - Need to have very good communication skills. - Skills in network Configuration & Protocols. - Skills in Python. - Understanding of microservice architecture. - Familiarity with the FIWARE Foundations MCP specification. - Understanding how to expose digital twin models and relationships using MCP. Qualifications Required: - Significant experience in AI and LLMs (6-9 years). - Proficiency in network Configuration & Protocols. - Proficiency in Python. - Understanding of microservice architecture. - Familiarity with the FIWARE Foundations MCP specification.,