ZipRecruiter

Log In

1

Rag Hiring Jobs (NOW HIRING)

Quebec solutions inc

Applied AI Engineer

Phoenix, AZ · On-site

Hiring: Applied AI Engineer (React + TypeScript + AI) - Phoenix, AZ Location: Phoenix, AZ Duration ... You'll work with cutting-edge technologies including Generative AI, LLMs, LangGraph, RAG, and ...

Appex Innovation

AI Architect

Irvine, CA · Hybrid

We are hiring for a Job Role : AI Scientist / AI Architect (Hands-on) Location: Irvine, CA and LA ... RAG, vector databases, embeddings, indexing) Experience with API development and backend system ...

Appex Innovation

AI Architect

Irvine, CA · On-site

$80/hr

We are hiring for a Job Role : AI Scientist / AI Architect (Hands-on) Location: Irvine, CA and LA ... Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)

Calance US

Azure AI Engineer- onsite

Charlotte, NC

We are hiring Azure AI Engineer- onsite for a Contract To Hire position in Charlotte, NC Client is ... Advanced RAG Implementation: Enhance solution accuracy by integrating Azure AI Foundry capabilities ...

Appex Innovation

AI Architect

Irvine, CA · Hybrid

$75 - $80/hr

We are hiring for a Job Role : AI Scientist / AI Architect (Hands-on) Location: Irvine, CA and LA ... Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)

next page

Showing results 1-20

All JobsRag Hiring Jobs

Rag Hiring information

See salary details

$40.5K

$78.8K

$118.5K

How much do rag hiring jobs pay per year?

As of Jul 16, 2026, the average yearly pay for rag hiring 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 the difference between Rag Hiring vs Fabricator?

AspectRag HiringFabricator
Required CredentialsHigh school diploma or equivalent, basic safety trainingHigh school diploma, technical training or apprenticeship
Work EnvironmentConstruction sites, industrial settingsManufacturing plants, workshops
Employer & Industry UsageConstruction companies, industrial firmsMetalworking, manufacturing industries
Common Search & ComparisonYesYes

Rag Hiring typically refers to temporary or casual labor hiring, often for manual tasks, while Fabricators are skilled workers involved in metal or material fabrication. Both roles may require safety training and work in industrial environments, but Fabricators usually have more technical skills and training. Understanding these differences helps job seekers find the right opportunities based on skills and industry focus.

What jobs pay 4000 a week without a degree?

Jobs that can pay $4,000 a week without a degree often include skilled trades such as commercial driving, construction, or HVAC work, which may require certifications or licenses. High-paying sales roles, certain freelance or consulting positions, and specialized technical jobs like cybersecurity or IT support can also reach this income level with experience and skills. These roles typically demand physical work, technical knowledge, or strong sales abilities rather than formal degrees.

What does RAG mean at work?

In the context of Rag Hiring, RAG typically refers to a color-coded system used to assess candidate or employee performance, with red, amber, and green indicating different levels of progress or suitability. It helps employers quickly identify areas needing improvement or candidates who meet specific criteria. This system is often used in performance reviews and project management environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive. These roles often require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and sometimes advanced degrees.

What is RAG and how does it work?

In the context of Rag Hiring, RAG typically refers to a Recruitment Assessment Grid, a tool used to evaluate candidates based on specific criteria such as skills, experience, and cultural fit. It helps streamline the hiring process by providing a structured way to compare applicants and make informed decisions. RAG systems often incorporate scoring or color-coding to indicate candidate suitability during recruitment.
More about Rag Hiring jobs
What cities are hiring for Rag Hiring jobs? Cities with the most Rag Hiring job openings:
What states have the most Rag Hiring jobs? States with the most job openings for Rag Hiring jobs include:
What job categories do people searching Rag Hiring jobs look for? The top searched job categories for Rag Hiring jobs are:
Rag Hiring jobs near you
Infographic showing various Rag Hiring job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $78,753 per year, or $37.9 per hour.

Senior Finance AI Builder

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 13 days ago

Job description

Hiring: Senior Finance AI Builder
Location: Remote (North America)
Job Summary
We are seeking an experienced Senior Finance AI Builder to design and implement AI-powered solutions for Finance and FP&A teams. The ideal candidate should have strong expertise in LLMs, AI Agents, RAG, LangChain, LangGraph, Python, SQL, and enterprise AI automation.
Required Skills
  • 8+ years of Python development
  • Strong SQL knowledge
  • Experience with LLMs (GPT-4o, Claude, Gemini)
  • LangChain / LangGraph
  • AI Agent development
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
  • REST APIs & JSON
  • Git / GitHub
  • Cloud Platforms (AWS, Azure, or GCP)

Preferred Skills
  • Workday Adaptive Planning
  • Anaplan
  • CaptivateIQ
  • FP&A
  • Revenue Operations
  • Financial Planning & Analysis
  • AI Workflow Automation
  • MLOps

Responsibilities
  • Build autonomous AI agents for Finance teams.
  • Develop AI-powered planning and forecasting solutions.
  • Design RAG-based financial knowledge assistants.
  • Integrate AI solutions with enterprise finance platforms.
  • Build scalable AI workflows and automation.
  • Collaborate with Finance stakeholders to optimize business processes.
  • Ensure AI governance, security, and best practices.

Apply