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Rag Developer Jobs in Pennsylvania (NOW HIRING)

Pronix Inc

Python AI Developer

Malvern, PA · On-site

$49.25 - $68/hr

Python AI Developer- Only W2 Location: Malvern, PA (Day 1 Onsite) Duration: 12 Months Job Summary ... Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on ...

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

AI Lead Developer - Agentic AI & GenAI Solutions Location: Exton, PA Onsite Employment Type ... Develop RAG-based applications leveraging vector databases andenterprise knowledge sources. * Build ...

SID Global Solutions

AI Lead Developer

Exton, PA

$57 - $74.50/hr

AI Lead Developer - Agentic AI & GenAI Solutions Location: Exton, PA Onsite Employment Type ... Develop RAG-based applications leveraging vector databases and enterprise knowledge sources. Build ...

Aveva

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions ... Applying prompt engineering techniques, tool calling, and agent orchestration to build intelligent ...

AVEVA

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions ... Applying prompt engineering techniques, tool calling, and agent orchestration to build intelligent ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI ... Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise ...

Sarian, Inc.

Agentic AI Developer

PA · On-site

Skill: Agentic AI Developer * The Agentic AI Developer will design, build, and operationalize ... Design short-term and long-term memory systems . * (RAG, vector databases) so agents can maintain ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI ... Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise ...

SEI Investments

Senior DevOps Engineer

Oaks, PA · Hybrid

$133K - $170K/yr

SEI is looking for a Senior DevOps Engineer to join our Enterprise AI team. This role is about ... RAG pipelines, agentic orchestration (multiagent, tool use, MCP), retrieval strategies, grounding ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI ... Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise ...

Accord Technologies Inc.

Senior AI Engineer

Philadelphia, PA · On-site

$123K - $163K/yr

Senior AI Engineer (Insurance domain and Data Background) Philadelphia, PA (Hybrid Day 1 onsite ... Build and optimize RAG pipelines with agentic orchestration. * Work with vector databases for ...

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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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Infographic showing various Rag Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Software Developer / Engineer

Real Soft, Inc.

Philadelphia, PA • On-site

Other

Re-posted 9 days ago

Job description

Job Title: Software Developer / Engineer (Mid-Level)
Location: Philadelphia, PA
Work Mode: Hybrid (Minimum 3 days onsite)
Employment Type: Contract
Interview Process
  • Round 1: 1-hour In-Person Interview
  • Round 2: 1-hour In-Person Interview
Role Overview
We are seeking a mid-level Software Developer/Engineer with hands-on experience in deploying on-premise LLM solutions and vector databases. The ideal candidate will have strong expertise in Python, RAG pipelines, and enterprise-grade AI system implementation within secure environments.
Key Responsibilities
  • Deploy and manage open-source LLMs (e.g., Llama 3, Mistral/Mixtral) in on-prem or private environments
  • Develop and optimize LLM inference workflows using Python
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Design and integrate vector database solutions for efficient semantic search
  • Perform model quantization and performance tuning for CPU-based inference
  • Ensure data privacy, security, and governance compliance in enterprise environments
  • Implement access controls, logging, and monitoring mechanisms
  • Deliver reference architecture, prototypes, and technical documentation
  • Collaborate with internal teams for knowledge transfer and system adoption
Required Skills & Qualifications
  • Strong experience with Python for AI/ML and backend development
  • Hands-on experience with open-source LLM deployment (Llama 3, Mistral, Mixtral)
  • Experience with CPU-based inference and optimization techniques
  • Practical experience with vector databases (Qdrant, Chroma, Milvus, pgvector)
  • Proven experience building RAG pipelines
  • Knowledge of embeddings, similarity search, and metadata filtering
  • Understanding of enterprise security, data privacy, and air-gapped environments
Preferred Qualifications
  • Experience with LangChain or LlamaIndex
  • Familiarity with Docker and Kubernetes
  • Exposure to Rust, Go, or C++ for high-performance systems
  • Experience with LLM inference frameworks (vLLM, llama.cpp, Hugging Face Transformers)
  • Prior experience in regulated or enterprise environments
Deliverables
  • End-to-end reference architecture for LLM + vector DB solutions
  • Functional prototype (LLM + RAG + Vector DB)
  • Comprehensive documentation and knowledge transfer

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