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Rag Developer Jobs (NOW HIRING)

$76.14 - $99.57/hr

Durch den Einsatz fortschrittlicher LLM-Architekturen und RAG-Technologien transformieren sie Analyse, Dokumentation und Systems Engineering. Nach einem strukturierten Onboarding und der Integration ...

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

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What cities are hiring for Rag Developer jobs?

Cities with the most Rag Developer job openings:

What states have the most Rag Developer jobs?

States with the most job openings for Rag Developer jobs include:

Infographic showing various Rag Developer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Applied ML Engineer (LLMs & RAG) (San Francisco)

Alldus

San Francisco, CA • On-site

Full-time

Re-posted 23 days ago


Job description

This role is a combination of research and engineering. We are looking for someone who's a talented software engineer at their core, but has contributed to AI research, especially in the field of RAG, agents, and LLMs.

Role
  • Build AI powered product features
  • Evaluate and enhance the accuracy and consistency of GenAI outputs
  • Research and develop semantic retrieval systems using RAG, knowledge graphs, etc.
  • Work on challenging, unsolved research and engineering issues related to LLMs
Qualifications
  • Deep expertise with LLMs
  • Experience conducting research at a top lab or university
  • Experience with knowledge graphs, RAG, LLMs, search, etc.
  • Past experience at (or a passion to join) an early stage startup
Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Research and Engineering

Industries

Software Development

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