Multi-Agent AI Architect Python Proficiency

Position: Multi-Agent AI Architect with Python Proficiency
Shape the future of AI with your design expertise in multi-agent architectures and robust experience in Python. This role focuses on innovative solutions with Vertex AI and LLM frameworks.

In your role as a Multi-Agent AI Architect, you will lead the development of intricate AI systems. Your extensive experience with Lang Chain, Semantic Kernel, and related frameworks will be integral. Additionally, you will design RAG pipelines and evaluate LLM performance while ensuring secure outputs and governance.

Key Responsibilities:

• Lead architecture design for multi-agent AI systems

• Implement secure coding in RAG pipeline development

• Create agent memory using vector databases

• Oversee evaluation frameworks for AI accuracy

• Design governance for model versioning and explainability

Requirements:

• Strong experience with GCP AI services like Vertex AI

• Proficient in Python and ML pipeline creation

• Expertise in vector databases including Pinecone

• Knowledge of prompt engineering in LLMs

• Familiarity with AI evaluation metrics and frameworks

Bring your architectural vision and technical prowess to transform AI landscapes.
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