AI Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer
Location: Atlanta GA
Duration: 22 Months + Extension
Bill Rate: $65/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Role Description:
The successful candidate should possess demonstrated experience in:Designing and implementing multi-agent orchestration frameworks and agentic workflows Building Retrieval-Augmented Generation (RAG) solutions leveraging both structured and unstructured enterprise 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
Primary Skills:
Python, Azure OpenAI/ OpenAI APIs/ LangGraph/ LangChain Retrieval-Augmented Generation (RAG) Vector Databases (Postgres pgvector, Pinecone, Elasticsearch, FAISS) REST APIs FastAPI / Flask SQL / NoSQL Databases Git, GitHub, Bitbucket Multi-Agent Systems Agent Orchestration Frameworks Semantic Search Knowledge Graphs

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.