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Rag Hiring Jobs (NOW HIRING)

Ninth Wave

AI Java Developer

Manhattan, NY

$56.25 - $72.75/hr

Ninth Wave AI Java Developer Full Time Opportunity New York City, NY Job Summary We are hiring an ... Integrate AWS Bedrock (Claude family models, Knowledge Bases, Agents) into Java services for RAG ...

Ninth Wave

AI Java Developer

Manhattan, NY · On-site

... Summary We are hiring an AI Java Developer to extend the Compass platform: a Spring Boot ... Integrate AWS Bedrock (Claude family models, Knowledge Bases, Agents) into Java services for RAG ...

Ninth Wave

AI Java Developer

Manhattan, NY · On-site

$100K - $125K/yr

Ninth Wave AI Java Developer Full Time Opportunity New York City, NY Job Summary We are hiring an ... Integrate AWS Bedrock (Claude family models, Knowledge Bases, Agents) into Java services for RAG ...

OuterSignal Inc

Senior Software Engineer

New York, NY · On-site

$200K - $300K/yr

Integrate vector databases + RAG pipelines to make customer profiles smarter, faster, and ... Work directly with Founding Team on roadmap, product direction, and hiring future engineers Who You ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

For more information, visit www.jaggaer.com We are hiring a Architect, Data AI to lead the next ... At least one Generative AI / RAG capability shipped to customers, with measurable adoption and a ...

Coforge

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Indiana Polis, Indiana We at Coforge are hiring experienced professionals with strong experience in Azure Fabric-based data pipelines, API integrations, AI/RAG document ingestion solutions, and ...

Hop

AI/ML Engineer

San Francisco, CA

Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Drivetrain

Engineering Intern - Gen AI for FP&A Platform

$17.25 - $22.25/hr

Build and prototype Gen AI solutions using RAG, agentic workflows, and LLMs for FP&A use cases ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

Hop

AI/ML Engineer

San Francisco, CA

Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Showing results 41-60

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 Aug 6, 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.

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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% 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.

Cloud Engineer- Data/AI Focused

Innovative Solutions

Washington, DC • On-site

$100K - $160K/yr

Full-time

Re-posted 3 days ago

Job description

As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.

What You'll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
$100,000 - $160,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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