Description

You will build and manage data infrastructure supporting Agentic AI solutions.

This role is hybrid.

Responsibilities

• Design and develop knowledge bases specifically for Agentic AI applications.
• Implement ingestion mechanisms optimized for semantic search and Retrieval-Augmented Generation (RAG).
• Orchestrate multi-agent systems using MCP protocol and related frameworks.
• Apply prompt engineering techniques and utilize prompt libraries to boost agent performance.
• Integrate ML Ops best practices, including feature stores and feedback loops, with cross-functional teams.

Required Skills

• 5+ years of overall professional experience.
• Proven experience building knowledge bases for Agentic AI systems.
• Strong understanding of vector databases like Faiss, Pinecone, and Weaviate.
• Expertise in prompt engineering and familiarity with prompt libraries such as LangChain and Guidance.
• Hands-on experience with MCP protocol and agent orchestration frameworks.
• Solid background in ML Ops, covering feature store management and deployment pipelines.
• Familiarity with Snowflake, particularly Cortex AI modules.

Preferred Skills

• Experience with Agentic AI architectures and multi-agent coordination.

Key Skills

Education

Any Gradute