Azure AI Engineer: LLMs, RAG & Multi-Agent Systems

VDart; Bellevue (WA); On-site; USD 120,000 - 150,000; Part time

Job summary

A technology solutions provider is seeking an experienced AI Engineer - Azure to design and deploy intelligent systems. You will architect RAG pipelines, integrate AI into enterprise applications, and ensure model reliability. The ideal candidate has extensive experience in Full-Stack development, particularly with generative AI and Azure Cognitive Services. Strong skills in Python and MLOps are essential for building scalable production-grade AI applications. This position offers an opportunity to work on cutting-edge AI solutions.

Qualifications

• 8 to 12 years of experience as a Full-Stack developer.
• 2 to 4 years in generative AI or RAG systems required.
• Strong expertise in Python and AI solutions.

Responsibilities

• Design and implement RAG pipelines.
• Apply chunking strategies for document segmentation.
• Fine-tune and evaluate Large Language Models.
• Integrate AI capabilities into enterprise applications using Azure.
• Collaborate with stakeholders for AI solutions.
• Ensure model reliability and ethical compliance.

Skills

Full-Stack Development

Generative AI

RAG Systems

Chunking Techniques

Embedding Strategies

MLOps

Python

AI Solutions

Azure Cognitive Services

Client Communication

Tools

MLflow

Docker

CI/CD pipelines

Job description

A technology solutions provider is seeking an experienced AI Engineer - Azure to design and deploy intelligent systems. You will architect RAG pipelines, integrate AI into enterprise applications, and ensure model reliability. The ideal candidate has extensive experience in Full-Stack development, particularly with generative AI and Azure Cognitive Services. Strong skills in Python and MLOps are essential for building scalable production-grade AI applications. This position offers an opportunity to work on cutting-edge AI solutions.