Conversational AI Engineer-GECX

Key Responsibilities:

• Build, monitor, and optimize RAG pipelines to improve retrieval accuracy and minimize LLM hallucinations.
• Curate knowledge bases, improve content quality, and implement content governance.
• Develop connectors to integrate AI assistants with internal data sources and third-party applications.
• Implement and maintain Model Context Protocol (MCP) integrations.
• Manage AI workflows using Google Cloud Vertex AI and Google Cloud Platform services.
• Apply prompt engineering, tool calling, context management, and feedback-driven model optimization.

Required Skills:

• Google Cloud Platform (Google Cloud Platform) and Vertex AI.
• LLMs, Generative AI, RAG, and vector search.
• MCP, tool/function calling, and API integrations.
• Prompt engineering, context window management, and hallucination mitigation.
• Python and experience building AI connectors and enterprise chatbot solutions.