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Rag Jobs (NOW HIRING)

Rag & 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

Sales Specialist

Marysville, WA · On-site

rag & bone is looking for a sales representative to join our team in our Seattle Premium Outlet location. This person will actively seek out and engage prospective customers to sell our product and ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

Responsibilities : • Lead the architecture and development of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources. • ...

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Rag information

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$40.5K

$78.8K

$118.5K

How much do rag jobs pay per year?

As of Aug 1, 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 $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and may involve leadership responsibilities or specialized expertise in areas like deep learning or natural language processing.

Is RAG in demand?

RAG (Retrieval-Augmented Generation) is an emerging technology in the AI and machine learning fields, increasingly used in applications like chatbots and data analysis. Demand for skills in RAG and related AI tools is growing as organizations seek advanced natural language processing solutions. Professionals with knowledge of AI models, data retrieval, and programming languages such as Python are increasingly sought after in this area.

What are RAGs in the context of AI and machine learning jobs?

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 are the key skills and qualifications needed to thrive as a RAG Engineer, and why are they important?

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 is a RAG job?

A RAG job typically refers to a role involving Red, Amber, and Green (RAG) status reporting, often used in project management to indicate progress or risk levels. Such jobs may require skills in data analysis, reporting tools, and project coordination to monitor and communicate project health effectively.

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.

What are some common challenges faced by RAG (Retrieval-Augmented Generation) 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 jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include roles such as senior corporate executives, investment bankers, specialized surgeons, and successful entrepreneurs. These positions often require advanced degrees, extensive experience, and strong industry networks, with compensation frequently including bonuses, stock options, or profit sharing.
More about Rag jobs
What cities are hiring for Rag jobs? Cities with the most Rag job openings:
What are the most commonly searched types of Rag jobs? The most popular types of Rag jobs are:
What states have the most Rag jobs? States with the most job openings for Rag jobs include:
What job categories do people searching Rag jobs look for? The top searched job categories for Rag jobs are:
Rag jobs near you
Infographic showing various Rag job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $78,753 per year, or $37.9 per hour.

Assistant Store Manager - Rag & Bone - Men's

Rag & Bone

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

The Role

The Assistant Manager is an essential member of the store leadership team and a core partner to the Store Manager. The Assistant Manager is an active part of the store operations, customer experience, and employee development. Additionally, they coach and develop all supervisors and associates while contributing to an environment in which all team members are able to collaborate in order to consistently deliver best in class customer experiences.

What You’ll Do

  • Display best-in-class customer service techniques, build customer loyalty through maintenance of clienteling standards and sales interactions. Ensure that all staff on duty are doing the same
  • Demonstrate the ability to perform and train staff on all store operations tasks from register to stock room
  • Ensure cash handling and register procedures are maintained and executed
  • Ensure integrity of payroll procedures and store scheduling
  • Delegate appropriately to ensure efficiency of store operations and to develop team members
  • Coach and develop retail associates to meet store goals
  • Assist in the recruitment, onboarding, training and development of all staff
  • Identify, create, and manage the execution of all store business plans that drive performance results and maximizes business opportunities
  • Analyze sales reports and data to determine needs of the business and partner in setting strategies to achieve goals
  • Ability to build customer loyalty; grow and manage clientele
  • Maintain product knowledge and ensure delivery of this information to staff
  • Encourage and recognize opportunities for team selling
  • Understand and exemplify the rag & bone brand philosophy and lifestyle
  • Work closely with Visual Merchandising and Buying teams to advise on product assortment and displays based on customer demographics and market trends
  • Consistently act within core values of rag & bone
  • Model and teach store associates to support a positive client-centric environment
  • Contribute to a positive, fun, professional, productive, and team-oriented store atmosphere

Rules we live by | Rules you live by

  • The Customer Rules – Minimum of 5 years of prior work experience in specialty retail with 1+ years in a management role
  • Be a Good Human - Be original, be authentic
  • Have No Fear - Innovate, solve problems
  • Own Every Decision - Work together, get results
  • Quality Matters - Be disciplined, be competitive
  • Make S**t Happen

Benefits

  • Clothing Allowance
  • Generous Employee Discount
  • Paid Time Off
  • Medical, dental, vision and ancillary benefits
  • Membership to Calm and access to other wellness benefits
  • 401k
  • Paid Parental Leave

rag & bone is an EEO/Affirmative Action Employer. No employee or applicant is discriminated against because of race, color, sex (including pregnancy), age, national origin, religion, sexual orientation, gender identity, gender expression, parental status, status as a veteran, and basis of disability or any other federal, state or local protected class.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 30 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

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