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Rag Engineer Jobs in Dallas, GA (NOW HIRING)

Virtusa Corporation

Sr. AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Build and deploy LLMs, RAG, Agentic AI, and GenAI applications. ML Pipeline Development: Implement ... Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines, and distributed ...

Purple Drive

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

Build and deploy LLMs, RAG, Agentic AI,and GenAI applications.ML Pipeline Development: Implement ... Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines,and distributed ...

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 ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Implement RAG pipelines using vector databases. * Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi‑agent workflows. * Develop prompt engineering, optimization ...

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All JobsRag Engineer JobsRag Engineer Jobs in Dallas, GA

Rag Engineer information

See Dallas, GA salary details

$53.8K

$81.8K

$138.7K

How much do rag engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for rag engineer in Dallas, GA is $81,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $94,900.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What job categories do people searching Rag Engineer jobs in Dallas, GA look for?

The top searched job categories for Rag Engineer jobs in Dallas, GA are:

What cities near Dallas, GA are hiring for Rag Engineer jobs?

Cities near Dallas, GA with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Dallas, GA as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $81,770 per year, or $39.3 per hour.

GenAI / Agentic AI Engineer (RAG & LLM Apps

ConglomerateIT LLC

Atlanta, GA • Remote

Contractor

Re-posted 21 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 GCP)

Nice to have

  • LangGraph, MCP, DSPy

  • Knowledge graphs / Neo4j, evals/LangSmith, MLOps

Founded in 2014, ConglomerateIT 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.