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Retrieval Augmented Generation Rag Jobs in Clementon, NJ

RELX

AI Software Engineering Lead

Philadelphia, PA · On-site

$136K - $217K/yr

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

Elsevier

AI Software Engineering Lead

Philadelphia, PA

$136K - $217K/yr

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

Elsevier

AI Software Engineering Lead

Philadelphia, PA · On-site

$136K - $217K/yr

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

Aveva

Experienced Software Developer

Philadelphia, PA

$124K - $236K/yr

Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions. * Experience with AI standards and frameworks such as Model Context Protocol (MCP), Agent2Agent (A2A ...

AVEVA

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions. * Experience with AI standards and frameworks such as Model Context Protocol (MCP), Agent2Agent (A2A ...

Gap International

AI/LLM Engineer

Springfield, PA · On-site

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

Gap International

AI/LLM Engineer

Philadelphia, PA

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

Gap International

AI/LLM Engineer

Springfield, PA · On-site

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

Wise Skulls

Senior Python AI Engineer

Mount Laurel, NJ · On-site

$120K - $161K/yr

Have prior knowledge & hands on Experience with - Building production-ready AI services and APIs using Python LLM integration Prompt engineering frameworks RAG (Retrieval-Augmented Generation ...

SoTalent

Data Science Manager

Philadelphia, PA · On-site

Retrieval-Augmented Generation (RAG) * Natural Language Processing (NLP) * Semantic Search * Recommendation Systems * Knowledge Graphs and Knowledge Systems * Ensure AI solutions are scalable ...

Damco Solutions

GenAI Architect

Mount Laurel, NJ · On-site

Mistral). • Implement RAG (Retrieval-Augmented Generation); vector databases; embeddings; and prompt‐engineering strategies. • Collaborate with product; engineering; and domain teams to ...

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Retrieval Augmented Generation Rag information

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How much do retrieval augmented generation rag jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for retrieval augmented generation rag in Clementon, NJ is $20.65, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $21.59 per hour, depending on experience, location, and employer.

What cities near Clementon, NJ are hiring for Retrieval Augmented Generation Rag jobs?

Cities near Clementon, NJ with the most Retrieval Augmented Generation Rag job openings:

Retrieval Augmented Generation Rag jobs near you
Infographic showing various Retrieval Augmented Generation Rag job openings in Clementon, NJ as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $42,961 per year, or $20.7 per hour.

Software Developer / Engineer - Philadelphia, PA (Locals Only)

Apetan Consulting llc

Philadelphia, PA • On-site

$80 - $150/hr

Contractor

Posted 29 days ago

Job description

Software Developer / Engineer
Location: Philadelphia, PA 
Work Schedule: Hybrid 3 days on site, 2 remote


Position Overview

We are seeking a Software Developer / Engineer to help design and implement an on-premises Large Language Model (LLM) platform with Retrieval-Augmented Generation (RAG) capabilities. This role will focus on deploying open-source AI models, integrating vector databases, and building secure, enterprise-grade AI solutions in a private environment.

This is an excellent opportunity for a developer with hands-on experience in modern AI technologies who enjoys building scalable, high-performance systems.

Responsibilities

  • Deploy and optimize open-source large language models (LLMs) such as Meta Llama 3 and Mistral/Mixtral in on-premises or private environments.
  • Develop Python-based applications for LLM inference, prompt engineering, and model integration.
  • Optimize CPU-based model inference through quantization and performance tuning.
  • Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines.
  • Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector.
  • Generate and manage embeddings while implementing metadata filtering strategies.
  • Support enterprise security requirements, including air-gapped deployments, access controls, data privacy, and audit logging.
  • Produce technical documentation, deployment guidance, and knowledge transfer materials for internal teams.
  • Build a working prototype integrating an LLM, vector database, and RAG architecture.

Required Qualifications

  • Professional experience deploying open-source LLMs (e.g., Meta Llama 3, Mistral/Mixtral) in on-premises or private environments.
  • Strong Python development experience.
  • Hands-on experience with LLM inference, prompt engineering, and AI application integration.
  • Experience optimizing CPU-based inference through model quantization and performance tuning.
  • Experience with vector databases such as Qdrant, Chroma, Milvus, or pgvector.
  • Proven experience implementing Retrieval-Augmented Generation (RAG) solutions.
  • Understanding of enterprise security, data privacy, air-gapped environments, access controls, and audit logging.

Preferred Qualifications

  • Experience with LangChain or LlamaIndex.
  • Familiarity with Docker and Kubernetes.
  • Experience with inference frameworks such as vLLM, llama.cpp, or Hugging Face Transformers.
  • Experience with Rust, Go, or C++.
  • Previous experience working in enterprise or regulated environments.

Deliverables

  • Reference architecture and deployment guidance.
  • Working prototype integrating an LLM, vector database, and RAG solution.
  • Technical documentation and knowledge transfer to internal teams.