GCP AI/ML Engineer

Meritore Technologies is seeking a GCP AI/ML Engineer to support cloud-based artificial intelligence and machine learning initiatives. The role oversees retrieval-augmented generation pipelines, curates knowledge, develops integrations, manages AI workflows in Vertex AI and GCP, and applies advanced large language model techniques.

Responsibilities:

• RAG Pipeline Oversight: Oversee the integrity of our Retrieval-Augmented Generation pipelines, ensuring the AI has the correct context to minimize hallucinations
• Knowledge Curation: Create and refine internal knowledge articles to improve both chatbot and human support accuracy
• Content Governance: Support content governance and taxonomy to ensure better AI retrieval and human accessibility
• AI Training: Help refine model prompts, responses, and fallback scenarios using live feedback
• Connector Development: Design and build connectors to integrate the Digital Assistant with internal data sources and third-party tools
• MCP Integration: Implement and maintain the Model Context Protocol (MCP) to standardize how AI models interact with data
• Platform Management: Manage AI workflows and model performance within Vertex AI and the broader GCP (Google Cloud Platform) environment
• Advanced LLM Techniques: Apply techniques such as tool calling, context window management, and prompt engineering to resolve complex technical issues