AI Architect

Role Overview: You should ideally be familiar with integrating an LLM. As MCP is quite new, you are required to have experience in integrating an LLM with native interface and understanding the LLM data model and API at an advanced level. Key Responsibilities: - Significant experience in AI and LLMs (6-9 years) and willingness to work during Paris work timing. - Possess an Ops mindset and ability to define integration processes. - Excellent communication skills. - Skills in network configuration & protocols. - Proficiency in Python. - Understanding of microservice architecture. - Familiarity with the FIWARE Foundations MCP specification. - Knowledge of how to expose digital twin models and relationships using MCP. Qualifications Required: - Experience in integrating LLMs with native interface. - Understanding of LLM data model and API. - 6-9 years of experience in AI and LLMs. - Ops mindset with the ability to define integration processes. - Strong communication skills. - Proficiency in network configuration & protocols. - Proficient in Python. - Knowledge of microservice architecture. - Familiarity with the FIWARE Foundations MCP specification. - Understanding of how to expose digital twin models and relationships using MCP.,