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Rag Engineer Jobs in Union, NJ (NOW HIRING)

SupportFinity™

LLM Applications Engineer

Manhattan, NY · On-site

$130 - $175/hr

You will design and implement RAG pipelines, vector retrieval systems, agentic workflows, and ... This position is for engineers who move beyond prototypes and ship robust, scalable LLM systems ...

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Responsibilities : • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph ... with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver ...

YO AI Labs

AI/ML Engineer - Remote

New York, NY · Remote

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

TalentProof

Prompt Engineer Jobs

Manhattan, NY · On-site

$120 - $180/hr

Prompt Engineers design and optimize prompts for LLMs, build evaluation frameworks, construct RAG (Retrieval-Augmented Generation) pipelines, fine-tune models for specific use cases, and ensure AI ...

IMR Soft LLC

Principal GenAI Engineer

Manhattan, NY · On-site

This role focuses on building RAG systems that combine structured semantic reasoning with advanced ... engineering) * Strong proficiency in Python, LangGraph, and SQL * Experience deploying GenAI ...

Millennium Management LLC

AI Engineer

New York, NY · On-site

$175K - $250K/yr

Strong understanding of LLMs, RAG, prompt engineering, conversational AI platforms, and modern AI ... powered user experiences * Ability to design, optimize, and evolve large-scale conversational AI ...

2T Consulting

Python Agentic AI Engineer

Garfield, NJ · On-site

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven ...

2T Consulting

Python Agentic AI Engineer

Bronx, NY · On-site

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven ...

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Showing results 21-40

All JobsRag Engineer JobsRag Engineer Jobs in Union, NJ

Rag Engineer information

See Union, NJ salary details

$60.6K

$92.2K

$156.4K

How much do rag engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for rag engineer in Union, NJ is $92,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $107,000.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What cities near Union, NJ are hiring for Rag Engineer jobs?

Cities near Union, NJ with the most Rag Engineer job openings:

Rag Engineer jobs near you

LLM Applications Engineer

SupportFinity™

Manhattan, NY • On-site

$130 - $175/hr

Other

Posted 16 days ago

Job description

Location: New York | San Francisco | Munich | London (In-Person)

Employment Type: Full-Time

Base Salary: $130,000 – $175,000

Overview

We are hiring an LLM Applications Engineer to build and deploy production‑grade LLM‑powered systems. This is a hybrid AI infrastructure and product engineering role. You will design and implement RAG pipelines, vector retrieval systems, agentic workflows, and full‑stack LLM‑powered product experiences. The role requires hands‑on ownership across backend Python systems and React‑based frontend applications. This position is for engineers who move beyond prototypes and ship robust, scalable LLM systems into production.

What You’ll Do
  • Design and deploy production‑grade RAG (Retrieval‑Augmented Generation) pipelines
  • Build and optimize vector retrieval systems
  • Implement agentic LLM workflows and orchestration layers
  • Develop full‑stack product experiences powered by LLMs
  • Design clean, scalable APIs and asynchronous processing systems
  • Connect LLM systems to structured data sources, including SQL databases and data engines
  • Collaborate closely with product and engineering teams to ship LLM‑first features
What We’re Looking For Core Requirements
  • 2+ years of full‑stack web development experience
  • Proficiency in Python and JavaScript or TypeScript
  • Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack
  • Hands‑on experience building production RAG pipelines and retrieval systems
  • Strong API design and asynchronous processing fundamentalsAbility to operate across backend infrastructure and frontend UI
  • Computer Science degree from a top‑tier program
Strong Plus
  • Built and deployed RAG pipelines in live production environments
  • Experience working with scientific, technical, or research datasets
  • Strong product mindset with LLM‑first feature development
  • Experience integrating LLM systems with SQL databases and broader data infrastructure
Who This Is Not For
  • Have only academic or prototype‑level LLM exposure
  • Have exclusively backend‑only or frontend‑only experience
  • Lack experience with vector databases or retrieval systems
  • Have not deployed LLM systems into production environments
What Success Looks Like
  • Production‑grade RAG pipelines running reliably at scaleClean, well‑architected retrieval and orchestration systems
  • Seamless integration between LLM backends and frontend product experiences
  • Measurable product impact from LLM‑powered features
  • Ownership of end‑to‑end LLM application architecture
Why This Role Is Unique

This is not a research‑only AI role and not a traditional full‑stack position. You will sit at the intersection of AI infrastructure and product, building systems that combine retrieval, orchestration, and real‑world user interfaces. If you want to ship meaningful LLM‑powered products — not just experiment with models — this is an opportunity to own that architecture end to end.

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