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Rag Developer Jobs in Georgia (NOW HIRING)

Infosys

GEN AI, RAG Engineer

Alpharetta, GA · On-site

Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will ...

Cliff Services Inc

Qdrant Developer

Alpharetta, GA · On-site

Qdrant Developer Duration: 12+ Months Interview Mode: Virtual We are seeking a skilled Qdrant ... Knowledge of RAG (Retrieval-Augmented Generation) architectures. * Experience integrating Qdrant ...

Vibotek LLC

Agentic AI Developer

Atlanta, GA · On-site

... Generation (RAG) and knowledge-grounded AI solutions • Integrate AI agents with enterprise ... engineering, and model APIs • Hands-on experience with RAG pipelines, vector databases, and ...

eTeam

Artificial Intelligence Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Responsibilities : • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph ... with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver ...

Virtual Networx

AI/ML Engineer

Atlanta, GA · On-site

AI/ML Engineer Location: Atlanta, GA Duration: Long Term Responsibilities * Design, build, and ... Build RAG pipelines and AI agents. * Fine-tune and optimize machine learning models. * Deploy ...

Spruce Infotech

Agentic Gen AI Engineer

Alpharetta, GA · On-site

Key Responsibilities • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang ... with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver ...

CYNET SYSTEMS

Gen AI Developer

Atlanta, GA · On-site

$48/hr

Programming Languages: Python (Primary), Node.js. * DevOps & Tools: Git, CI/CD (Deep Experience ... Splunk, RAG (PostgreSQL/Redshift). * Agent Building Team (Apps): Strands SDK, CrewAI, Bedrock ...

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

RAG, vector databases, semantic search, and embeddings * AI evaluation and observability * Python and SQL * REST APIs, JSON, and Postman * Test automation frameworks * Azure DevOps, Git, and Azure ...

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

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What job categories do people searching Rag Developer jobs in Georgia look for? The top searched job categories for Rag Developer jobs in Georgia are:
What cities in Georgia are hiring for Rag Developer jobs? Cities in Georgia with the most Rag Developer job openings:
Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Georgia as of July 2026, with employment types broken down into 83% Full Time, 5% Part Time, 1% Temporary, and 11% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

GenAI / Agentic AI Engineer (RAG & LLM Apps

ConglomerateIT

Atlanta, GA • On-site

Other

Re-posted 6 days ago

Job description

Title:GenAI / Agentic AI Engineer (RAG & LLM Apps)
Location: US - Remote / Hybrid (multiple locations)
Type: Full-time or Contract (W2/C2C)
Level: Mid Senior (10+ Years Only)

We are hiring RAG-first GenAI engineers to build LLM-powered applications and agentic workflows for enterprise clients. This role centers on retrieval quality and reliable LLM integration as the foundation for agentic features.

What you'll do

  • Architect end-to-end RAG: chunking, embedding selection, hybrid/semantic search, re-ranking, citation and evaluation

  • Build LLM-powered microservices and APIs (FastAPI / REST)

  • Integrate and orchestrate LLMs (OpenAI, Claude, Gemini, Llama) into product and internal workflows

  • Add agentic behavior on top of RAG: tool-calling, multi-step task execution, guardrails, hallucination handling

  • Stand up and tune vector-store infrastructure; deploy and monitor in production

Must have

  • Strong Python

  • End-to-end RAG experience

  • Vector databases (Pinecone, Weaviate, pgvector, FAISS, or similar)

  • LLM API integration (OpenAI / Anthropic / Gemini / Llama)

  • LangChain and/or LlamaIndex

  • FastAPI / REST and one cloud (AWS, Azure, or Google Cloud Platform)

Nice to have

  • LangGraph, MCP, DSPy

  • Knowledge graphs / Neo4j, evals/LangSmith, MLOps

Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

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