Azure AI Foundry: RAG Optimization Engineer

Teklabs Inc

Milwaukee (WI)

On-site

USD 90,000 - 140,000

Full time

6 days ago

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Job summary

Teklabs Inc. seeks a AI/ML specialist to optimize an Azure AI Foundry RAG pipeline and boost retrieval accuracy across large technical document sets. You will refine ingestion, chunking, and metadata tagging, plus indexing and search strategies to improve response quality.

Collaborate with business and tech teams to execute a backlog of enhancements and validate against real-world support scenarios. The role emphasizes independent work within an established environment, focusing on improving

Qualifications

Hands-on experience with Azure AI Foundry and RAG techniques.
Strong understanding of document ingestion, chunking, and metadata tagging.
Experience improving search relevance and AI response quality.

Responsibilities

Optimize an existing Azure AI Foundry RAG implementation.
Improve retrieval accuracy, ranking, reranking, and context selection.
Configure and refine document ingestion, chunking, metadata tagging, indexing strategies, and search optimization.
Evaluate and tune development and staging environments to improve response quality.
Analyze large document sets to improve retrieval effectiveness.
Enhance prompt engineering and context window strategies to improve accuracy.
Work with business and technical teams to implement backlog enhancements.
Test and validate retrieval and response quality using real-world customer support cases.