GenAI Data Engineer

Design and implement RAG pipelines including data retrieval, processing, and storage of results

Build solutions using LLMs for classification and data processing

Develop and enhance AI agents including multi-agent workflows, orchestration, tool usage, and memory

Implement agent integrations including A2A, MCP, and integrations with tools and APIs

Develop and optimize data pipelines including ETL, ingestion, and processing

Design and implement prompt engineering, model evaluation, and guardrails mechanisms

Deploy and maintain GenAI solutions in Azure environments

Collaborate with Data, ML, and Product teams in a project-based model...