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Retrieval Augmented Generation Rag Jobs in Clementon, NJ

RELX

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 ...

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 ...

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 ...

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

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 ...

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 15, 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.

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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 23 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.