AI Engineer

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

Job summary

Robotics Technologies in Atlanta, GA seeks an AI Engineer to design multi-agent orchestration frameworks and deploy RAG solutions across enterprise data sources. You will build knowledge retrieval leveraging SharePoint and databases, implement governance controls, and productionize LLM applications with observability and security measures.

The role focuses on scalable AI platform capabilities, mentoring teams and guiding best practices in AI engineering for a production-grade environment.

Qualifications

• Design multi-agent orchestration frameworks and agentic workflows.
• Build Retrieval-Augmented Generation (RAG) solutions using enterprise data.
• Develop knowledge retrieval platforms spanning SharePoint, document repos and databases.
• Implement AI governance controls: traceability, explainability, auditability, human review.
• Productionize LLM-based applications with observability, monitoring, and security.
• Architect scalable and reusable AI platform capabilities.
• Lead technical design discussions and mentor engineering teams on AI engineering best practices.

Responsibilities

• Design multi-agent orchestration frameworks and agentic workflows.
• Build RAG solutions using structured and unstructured enterprise data.
• Develop enterprise knowledge retrieval platforms spanning SharePoint and databases.
• Implement AI governance controls with traceability, explainability, and auditability.
• Productionize LLM-based applications with observability and security controls.
• Architect scalable AI platform capabilities and mentor teams.

Skills

Python

Multi-Agent Systems

Agent orchestration frameworks

AI governance knowledge

Tools

Azure OpenAI

OpenAI APIs

LangGraph

LangChain

RAG

SharePoint

Postgres pgvector

Pinecone

Elasticsearch

FAISS

REST APIs

FastAPI

Flask

SQL

NoSQL databases

Git

GitHub

Bitbucket

Multi-Agent Systems frameworks

Knowledge graphs

Job description

Robotics Technologies is hiring an AI Engineer in Atlanta, GA for an onsite contract engagement. This 22-month contract includes the possibility of an extension, with a $65/hour bill rate for C2C. The work focuses on production-grade AI systems, including multi-agent orchestration and enterprise RAG, alongside AI governance and LLM application hardening.

Project domain exposure includes pharmaceuticals. Employment types supported include W-2, 1099, C2C, and work authorization options include US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other.

What you’ll do

• Design and implement multi-agent orchestration frameworks and agentic workflows
• Build Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data
• Develop enterprise knowledge retrieval platforms spanning SharePoint, document repositories, databases, and external knowledge sources
• Implement AI governance controls such as source traceability, explainability, auditability, and human review workflows
• Productionize LLM-based applications with observability, monitoring, performance optimization, and security controls
• Architect scalable and reusable AI platform capabilities
• Lead technical design discussions and mentor engineering teams on AI engineering best practices

Requirements

• Python
• Azure OpenAI and OpenAI APIs
• LangGraph and LangChain
• Retrieval-Augmented Generation (RAG) and semantic search
• Vector databases: Postgres pgvector, Pinecone, Elasticsearch, FAISS
• REST APIs
• FastAPI / Flask
• SQL / NoSQL databases
• Git with GitHub and Bitbucket
• Multi-Agent Systems and agent orchestration frameworks
• Knowledge graphs

Job ID: J53957

Location: Atlanta, GA (onsite)

Duration: 22 Months + Extension

Client: To Be Discussed Later