AI Platform Engineer: Multi-Agent & RAG

Cloud Analytics Technologies, LLC; Atlanta (GA); On-site; USD 74,000 - 105,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an AI Engineer in Atlanta to design multi-agent orchestration frameworks and advanced RAG solutions. The role emphasizes enterprise data integration across SharePoint and databases and requires building governable, observable, scalable AI platforms.

The successful candidate will lead technical discussions, mentor teams on AI best practices, and productionize LLM apps with robust security and performance controls.

Qualifications

• Designing and implementing multi-agent orchestration frameworks and agentic workflows.
• Building Retrieval-Augmented Generation (RAG) solutions leveraging both structured and unstructured data.
• Developing enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external knowledge sources.
• Implementing AI governance controls including source traceability, explainability, auditability, and human review workflows.
• Productionizing LLM-based applications with observability, monitoring, performance optimization, and security controls.
• Architecting scalable and reusable AI platform capabilities.
• Leading technical design discussions and mentoring engineering teams on AI engineering best practices.

Responsibilities

• Lead design discussions and mentor engineering teams on AI engineering best practices.
• Drive the architecture of scalable AI platform capabilities and reusable components.
• Collaborate across teams to productionize LLM-based applications with observability and security controls.
• Establish governance with traceability, explainability, and auditability across AI systems.

Skills

Python

Azure OpenAI

LangGraph

LangChain

RAG

REST APIs

FastAPI

Flask

Knowledge Graphs

Tools

Postgres pgvector

Pinecone

Elasticsearch

FAISS

GitHub

Docker

Job description

Cloud Analytics Technologies, LLC is seeking an AI Engineer in Atlanta to design multi-agent orchestration frameworks and advanced RAG solutions. The role emphasizes enterprise data integration across SharePoint and databases and requires building governable, observable, scalable AI platforms.

The successful candidate will lead technical discussions, mentor teams on AI best practices, and productionize LLM apps with robust security and performance controls.