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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified