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Rag Developer Jobs in Philadelphia, PA (NOW HIRING)

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 ...

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 ...

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 and enterprise knowledge sources. Build ...

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

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

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 ...

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 ...

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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Cities near Philadelphia, PA with the most Rag Developer job openings:

Senior Python AI Developer(RAG/LLM)

Geethanjali College of Engineering and Technology

Wilmington, DE • On-site

$117K - $158K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

The client is seeking a highly experienced Senior Python AI Developer with expertise in building enterprise-grade Generative AI applications. The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI platforms for financial services.
Required Skills
  • 10+ years of software development experience
  • Strong expertise in Python development
  • Hands-on experience building Retrieval-Augmented Generation (RAG) applications
  • Experience integrating LLMs such as GPT, Claude, Llama, Gemini, or Mistral
  • Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks
  • Strong knowledge of vector databases including Pinecone, FAISS, Weaviate, ChromaDB, or Milvus
  • Experience with embedding models and semantic search
  • Experience developing REST APIs using FastAPI or Flask
  • Experience with prompt engineering and AI workflow optimization
  • Strong SQL and NoSQL database experience
  • Experience with Docker and Kubernetes
  • Cloud experience with AWS, Azure, or Google Cloud Platform
  • Experience with Git, CI/CD, and DevOps practices
  • Understanding of AI security, governance, and responsible AI practices
  • Experience working in Agile/Scrum environments
Preferred Skills
  • Financial or banking domain experience
  • Experience with OCR and document intelligence
  • Knowledge of AI agents and multi-agent frameworks
  • Experience deploying enterprise AI solutions
  • Experience with model evaluation and observability
Responsibilities
  • Design and build enterprise RAG solutions
  • Develop scalable AI services using Python
  • Build semantic search and document retrieval pipelines
  • Integrate vector databases and LLMs
  • Optimize prompt engineering and retrieval strategies
  • Collaborate with data scientists, architects, and business stakehold