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Rag Jobs (NOW HIRING)

PGTEK

Senior RAG / Data Engineer - Active Secret clearance

$108K - $147K/yr

Sr. RAG / Data Engineer - Federal and DoD Programs About the Role PGTEK is seeking a Sr. RAG / Data Engineer to support our L200 Driving Adoption capability. You will build the knowledge pipeline ...

Rag & Bone

Store Manager - Belmont Park Village

Elmont, NY · On-site

$80K - $85K/yr

About rag & bone From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not the easy way. To making things that ...

Rag & Bone

Store Manager- Las Vegas

Las Vegas, NV · On-site

About rag & bone From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not theeasy way. Tomakingthings that ...

The Podmilsak Group

$78K - $106K/yr

Sr. RAG / Data Engineer - Federal and DoD Programs About the Role PGTEK is seeking a Sr. RAG / Data Engineer to support our L200 Driving Adoption capability. You will build the knowledge pipeline ...

New

Rag & Bone

Sales Supervisor

Las Vegas, NV · On-site

About rag & bone From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not the easy way. To making things that ...

Rag & Bone

Store Manager, West 13th Street

Manhattan, NY · On-site

$100K - $115K/yr

About rag & bone From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not the easy way. To making things that ...

rag and bone

PT sales specialist

Wrentham, MA · On-site

$16 - $18/hr

Rag and Bone is looking for a sales representative to join our team in our Wrentham office. This person will actively seek out and engage prospective customers to sell our product and/or services.

Rag & Bone

Store Manager, Madison Ave

Manhattan, NY · On-site

$110K - $120K/yr

About rag & bone From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not the easy way. To making things that ...

Rag & Bone

Sales Supervisor FT

Wrentham, MA · On-site

Rag and Bone is looking for a sales supervisor to join our team in our Wrentham store. This person will actively seek out and engage prospective customers to sell our product and/or services. The ...

Rag & Bone

Store Manager, Madison Ave

Manhattan, NY · On-site

$110K - $130K/yr

About rag & bone From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not the easy way. To making things that ...

Rag & Bone

Sales Supervisor FT

Wrentham, MA · On-site

Rag and Bone is looking for a sales supervisor to join our team in our Wrentham store. This person will actively seek out and engage prospective customers to sell our product and/or services. The ...

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Showing results 21-40

All JobsRag Jobs

Rag information

See salary details

$40.5K

$78.8K

$118.5K

How much do rag jobs pay per year?

As of Sep 13, 2026, the average yearly pay for rag in the United States is $78,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a RAG?

RAG stands for Retrieval-Augmented Generation, a model architecture that combines information retrieval with generative AI. In this role, a RAG specialist or engineer works on designing, implementing, and optimizing systems that retrieve relevant data from large databases to provide more accurate and informed AI-generated responses. This position typically requires strong knowledge of natural language processing, information retrieval, and deep learning frameworks. RAG models are particularly useful in applications like customer support, search engines, and knowledge management systems.

What skills and qualifications are needed to thrive as a RAG engineer?

To thrive as a Retrieval-Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and software engineering, often with a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with vector databases, and knowledge of APIs for language models are typically required. Problem-solving, effective communication, and adaptability are crucial soft skills for collaborating with teams and navigating evolving technologies. These skills are important to successfully develop, deploy, and maintain RAG systems that enhance the performance and relevance of AI-driven applications.

What are common challenges faced by RAG engineers when integrating retrieval systems with large language models?

RAG engineers often encounter challenges in ensuring the seamless integration of retrieval systems with large language models, such as maintaining low latency while fetching relevant documents and ensuring retrieved data is contextually appropriate for generation tasks. Balancing retrieval accuracy and computational efficiency is key, especially when dealing with large-scale or real-time applications. Effective collaboration with data engineers, NLP researchers, and product teams is essential to continuously refine retrieval pipelines and improve the relevance of generated outputs.

What is the difference between Rag vs Data Analyst?

AspectRagData Analyst
Required CredentialsVaries, often no formal degreeBachelor's degree in data-related field, often certifications
Work EnvironmentFieldwork, on-site, or warehouse settingsOffice-based, computer-focused
Employer & Industry UsageConstruction, manufacturing, logisticsFinance, marketing, healthcare, tech
Common Search & ComparisonRag vs Data AnalystData Analyst roles and responsibilities

While Rags typically work in physical environments handling materials or equipment, Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills but differ significantly in credentials, work setting, and industry applications.

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What states have the most Rag jobs?

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Rag jobs near you
Infographic showing various Rag job openings in the United States as of September 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $78,753 per year, or $37.9 per hour.

GenAI / Agentic AI Engineer (RAG & LLM Apps

Atlanta, GA • Remote

ConglomerateIT LLC
IT Services • 11 - 50 employees
Learn more about ConglomerateIT LLCexternal

Contractor

Re-posted 14 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.