Description

You will design and deploy GenAI and LLM solutions using Databricks and cloud infrastructure.

This role is remote.

Responsibilities

• Build and manage Databricks ML/LLMOps workflows, Mosaic AI, and Unity Catalog.
• Implement RAG architectures, vector search, and vector indexing strategies.
• Develop Agentic AI concepts and optimize LLM performance.
• Execute fine-tuning processes for specific model requirements.
• Deploy AI/ML engineering solutions on AWS and Azure.

Required Skills

• Databricks ecosystem: ML/LLMOps, Mosaic AI, Unity Catalog.
• Vector Search and Vector Indexing implementation.
• GenAI/LLM experience: RAG, fine-tuning, and optimization.
• Agentic AI concepts and application.
• Cloud platforms: AWS and Azure with Databricks integration.
• 10+ years of experience in AI/ML or Applied GenAI engineering.

Preferred Skills

• Experience with Genie Agents within the Databricks environment.

Key Skills

Education

Any Graduate