AI Engineer

Robotics Technologies LLC; Atlanta (GA); On-site; USD 76,000 - 103,000; Full time

Job summary

Robotics Technologies LLC in Atlanta, GA seeks an AI Engineer to design and implement multi-agent orchestration frameworks and RAG solutions across enterprise data sources.

You will develop scalable AI platform capabilities, implement governance controls, and productionize LLM-based applications with observability and security. Strong experience with Python, Azure/OpenAI APIs, LangChain, and vector databases is required.

Qualifications

• Proficient in Python and modern AI/ML tooling.
• Experience with Azure OpenAI or OpenAI APIs and LangChain.
• Familiarity with vector databases and search technologies.

Responsibilities

• Design and implement multi-agent orchestration frameworks and agentic workflows.
• Build RAG solutions leveraging structured and unstructured data.
• Develop enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external sources.
• Implement AI governance including 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 and mentor engineering teams.

Skills

Python

Azure OpenAI

OpenAI APIs

LangGraph

LangChain

Retrieval-Augmented Generation

Vector Databases

REST APIs

FastAPI

Flask

SQL

NoSQL

Git

Multi‑Agent Systems

Agent Orchestration Frameworks

Semantic Search

Knowledge Graphs

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.