1

Retrieval Augmented Generation Rag Jobs in Atlanta, GA

Knowledge of RAG (Retrieval-Augmented Generation) architectures. * Experience integrating Qdrant with LLM frameworks such as LangChain or LlamaIndex. * Familiarity with REST APIs and microservices.

New

... retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning. • Proficient in Python and comfortable working with async code, data ...

... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...

Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...

AI Solution Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Architect Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), LLM, and intelligent automation solutions. * Design scalable cloud-native AI architectures on AWS, Azure, or Google Cloud ...

... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...

New

Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques * Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Architect AI/ML solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain (Lang). * Integrate and manage MCP Server for scalable AI infrastructure and ...

next page

Showing results 1-20

Retrieval Augmented Generation Rag information

See Atlanta, GA salary details

$14

$19

$25

How much do retrieval augmented generation rag jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for retrieval augmented generation rag in Atlanta, GA is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $20.34 per hour, depending on experience, location, and employer.
What are popular job titles related to Retrieval Augmented Generation Rag jobs in Atlanta, GA? For Retrieval Augmented Generation Rag jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation Rag jobs in Atlanta, GA look for? The top searched job categories for Retrieval Augmented Generation Rag jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Retrieval Augmented Generation Rag jobs? Cities near Atlanta, GA with the most Retrieval Augmented Generation Rag job openings:
Infographic showing various Retrieval Augmented Generation Rag job openings in Atlanta, GA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Agentic AI Engineer - Need Locals - F2F

Info Dinamica Inc

Alpharetta, GA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Position Title: Agentic AI Engineer
Location: Alpharetta, GA (5 Days Onsite) Local Candidates Only
Must-Have Skills:
Agentic AI
Multi-Agent Systems
Enterprise AI Integrations
Retrieval-Augmented Generation (RAG)
Workflow Automation & Orchestration
AI Governance, Security & Responsible AI
Job Summary:
We are seeking an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade AI agents and multi-agent systems. The ideal candidate will have hands-on experience building AI-powered automation solutions, implementing RAG architectures, integrating LLM applications with enterprise platforms, and developing scalable AI workflows. This role requires strong expertise in enterprise integrations, AI governance, and production-ready AI solutions.
Key Responsibilities:
Design, develop, and deploy AI agents and multi-agent systems for enterprise use cases.
Build and integrate AI solutions with enterprise platforms including JIRA, GitHub, ServiceNow, Microsoft Teams, SharePoint, databases, and third-party APIs.
Develop workflow automation and orchestration solutions using modern AI frameworks.
Build AI-accessible tools utilizing APIs, MCP, webhooks, OAuth, and event-driven architectures.
Design and implement Retrieval-Augmented Generation (RAG) solutions with semantic search and vector databases.
Develop dashboards and reporting solutions leveraging enterprise JIRA data.
Optimize LLM applications through effective context engineering, token optimization, memory management, and cost optimization.
Implement AI governance, monitoring, observability, security controls, and human-in-the-loop workflows.
Collaborate with cross-functional teams to deliver secure, scalable, and production-grade AI solutions.